Triple

T7842499
Position Surface form Disambiguated ID Type / Status
Subject Yellow Line (Delhi Metro) E181839 entity
Predicate hasStation P35 FINISHED
Object Vishwavidyalaya
Vishwavidyalaya is a major Delhi Metro station serving the North Campus area of the University of Delhi.
 E698908 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: Vishwavidyalaya | Statement: [Yellow Line (Delhi Metro), hasStation, Vishwavidyalaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vishwavidyalaya
Context triple: [Yellow Line (Delhi Metro), hasStation, Vishwavidyalaya]
  • A. Universitas
    Universitas is a Latin term commonly used to denote a university or community of scholars dedicated to higher learning and research.
  • B. Universitate
    Universitate is a central Bucharest metro station located near the University of Bucharest and several major cultural and administrative landmarks.
  • C. Universidad
    Universidad is a Mexico City Metro station that serves as a major southern terminus and gateway to the National Autonomous University of Mexico (UNAM) campus.
  • D. Universitetet
    Universitetet is a railway station in Stockholm, Sweden, serving Stockholm University and located on the Roslagsbanan suburban rail line.
  • E. Univ
    Univ is the informal abbreviation for University College, one of the constituent colleges of the University of Oxford.
  • 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: Vishwavidyalaya
Triple: [Yellow Line (Delhi Metro), hasStation, Vishwavidyalaya]
Generated description
Vishwavidyalaya is a major Delhi Metro station serving the North Campus area of the University of Delhi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vishwavidyalaya
Target entity description: Vishwavidyalaya is a major Delhi Metro station serving the North Campus area of the University of Delhi.
  • A. Universitas
    Universitas is a Latin term commonly used to denote a university or community of scholars dedicated to higher learning and research.
  • B. Universitate
    Universitate is a central Bucharest metro station located near the University of Bucharest and several major cultural and administrative landmarks.
  • C. Universidad
    Universidad is a Mexico City Metro station that serves as a major southern terminus and gateway to the National Autonomous University of Mexico (UNAM) campus.
  • D. Universitetet
    Universitetet is a railway station in Stockholm, Sweden, serving Stockholm University and located on the Roslagsbanan suburban rail line.
  • E. Univ
    Univ is the informal abbreviation for University College, one of the constituent colleges of the University of Oxford.
  • 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_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb163b32688190b463a9cd8fa3c690 completed March 31, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5aded4048190b18604963784352c completed March 31, 2026, 5:25 a.m.
NEDg Description generation batch_69cb762dd8348190bf74be4e7f5df1e7 completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbb24068908190977b266366e5ceea completed March 31, 2026, 11:38 a.m.
Created at: March 30, 2026, 4:48 p.m.