Triple

T8047606
Position Surface form Disambiguated ID Type / Status
Subject School of Civil Engineering, University of Tehran E187592 entity
Predicate hasLaboratory P105 FINISHED
Object hydraulics and water resources laboratory
The hydraulics and water resources laboratory is a research and teaching facility focused on the study of fluid mechanics, hydraulic structures, and water resource management within civil engineering.
E706441 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: hydraulics and water resources laboratory | Statement: [School of Civil Engineering, University of Tehran, hasLaboratory, hydraulics and water resources laboratory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: hydraulics and water resources laboratory
Context triple: [School of Civil Engineering, University of Tehran, hasLaboratory, hydraulics and water resources laboratory]
  • A. Department of Water Resources Engineering
    The Department of Water Resources Engineering is an academic unit specializing in the study, design, and management of water resources systems within Chittagong University of Engineering and Technology.
  • B. Hydrology and Water Resources Programme
    The Hydrology and Water Resources Programme is a global initiative focused on advancing the monitoring, assessment, and sustainable management of freshwater resources and hydrological systems worldwide.
  • C. IIHR
    IIHR is an international academic and training institution dedicated to promoting and protecting human rights throughout the Americas.
  • D. Center for Water Informatics and Technology
    The Center for Water Informatics and Technology is a research hub at LUMS focused on applying data science, sensing technologies, and innovative engineering to address water management and sustainability challenges.
  • E. U.S. Army Engineer Research and Development Center
    The U.S. Army Engineer Research and Development Center is the principal research organization of the U.S. Army Corps of Engineers, conducting engineering and environmental science R&D to support military and civil works missions.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: hydraulics and water resources laboratory
Triple: [School of Civil Engineering, University of Tehran, hasLaboratory, hydraulics and water resources laboratory]
Generated description
The hydraulics and water resources laboratory is a research and teaching facility focused on the study of fluid mechanics, hydraulic structures, and water resource management within civil engineering.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: hydraulics and water resources laboratory
Target entity description: The hydraulics and water resources laboratory is a research and teaching facility focused on the study of fluid mechanics, hydraulic structures, and water resource management within civil engineering.
  • A. Department of Water Resources Engineering
    The Department of Water Resources Engineering is an academic unit specializing in the study, design, and management of water resources systems within Chittagong University of Engineering and Technology.
  • B. Hydrology and Water Resources Programme
    The Hydrology and Water Resources Programme is a global initiative focused on advancing the monitoring, assessment, and sustainable management of freshwater resources and hydrological systems worldwide.
  • C. IIHR
    IIHR is an international academic and training institution dedicated to promoting and protecting human rights throughout the Americas.
  • D. Center for Water Informatics and Technology
    The Center for Water Informatics and Technology is a research hub at LUMS focused on applying data science, sensing technologies, and innovative engineering to address water management and sustainability challenges.
  • E. U.S. Army Engineer Research and Development Center
    The U.S. Army Engineer Research and Development Center is the principal research organization of the U.S. Army Corps of Engineers, conducting engineering and environmental science R&D to support military and civil works missions.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca82b15e948190a62fd7af5218426a completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f4f0bf88190b8a706186118c977 completed March 31, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc5711d2bc8190911f2cade7596be5 completed March 31, 2026, 11:21 p.m.
NEDg Description generation batch_69cc58edb31881909b6efd2fbbc2480e completed March 31, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_69cc5ccee5648190a8ebdf8029eded98 completed March 31, 2026, 11:46 p.m.
Created at: March 30, 2026, 5:24 p.m.