Triple

T12238750
Position Surface form Disambiguated ID Type / Status
Subject Salí River E291671 entity
Predicate hasDam P8736 FINISHED
Object Escaba Dam
Escaba Dam is a hydroelectric and irrigation dam located on the Salí River in Tucumán Province, Argentina.
E999978 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: Escaba Dam | Statement: [Salí River, hasDam, Escaba Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Escaba Dam
Context triple: [Salí River, hasDam, Escaba Dam]
  • A. Camanche Dam
    Camanche Dam is a large earth-fill dam in California that creates Camanche Reservoir on the Mokelumne River for water storage, flood control, and recreation.
  • B. Abiquiu Dam
    Abiquiu Dam is a major earthen flood-control and water-storage dam on the Rio Chama in northern New Mexico, forming Abiquiu Lake and supporting regional water management and recreation.
  • C. Fengman Dam
    Fengman Dam is a large hydroelectric gravity dam on the Songhua River in Jilin Province, China, known for its significant role in regional power generation and flood control.
  • D. Almanor Dam
    Almanor Dam is a large earthfill hydroelectric dam in Plumas County, California, that impounds the North Fork Feather River to form Lake Almanor.
  • E. La Mesa Dam
    La Mesa Dam is a major water reservoir in Quezon City, Philippines, that supplies a significant portion of Metro Manila’s drinking water.
  • 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: Escaba Dam
Triple: [Salí River, hasDam, Escaba Dam]
Generated description
Escaba Dam is a hydroelectric and irrigation dam located on the Salí River in Tucumán Province, Argentina.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Escaba Dam
Target entity description: Escaba Dam is a hydroelectric and irrigation dam located on the Salí River in Tucumán Province, Argentina.
  • A. Camanche Dam
    Camanche Dam is a large earth-fill dam in California that creates Camanche Reservoir on the Mokelumne River for water storage, flood control, and recreation.
  • B. Abiquiu Dam
    Abiquiu Dam is a major earthen flood-control and water-storage dam on the Rio Chama in northern New Mexico, forming Abiquiu Lake and supporting regional water management and recreation.
  • C. Fengman Dam
    Fengman Dam is a large hydroelectric gravity dam on the Songhua River in Jilin Province, China, known for its significant role in regional power generation and flood control.
  • D. Almanor Dam
    Almanor Dam is a large earthfill hydroelectric dam in Plumas County, California, that impounds the North Fork Feather River to form Lake Almanor.
  • E. La Mesa Dam
    La Mesa Dam is a major water reservoir in Quezon City, Philippines, that supplies a significant portion of Metro Manila’s drinking water.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cb45340819093365f8efdf85f75 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c60a7d081908e402c15b7e38596 completed May 2, 2026, 10:36 p.m.
NEDg Description generation batch_69f67db4dd2081909a238e368645e899 completed May 2, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69f67ec570a881909c98471b701999f0 completed May 2, 2026, 10:46 p.m.
Created at: April 8, 2026, 9:51 p.m.