Triple

T20235891
Position Surface form Disambiguated ID Type / Status
Subject Confluencia Department E498146 entity
Predicate hasLandmark P105 FINISHED
Object El Chocón Dam NE NERFINISHED

How this triple was built (2 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: El Chocón Dam | Statement: [Confluencia Department, hasLandmark, El Chocón Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: El Chocón Dam
Context triple: [Confluencia Department, hasLandmark, El Chocón Dam]
  • A. El Chocón Dam chosen
    El Chocón Dam is a large hydroelectric dam in Argentina known for its significant role in power generation and flood control on the Limay River.
  • B. Chicoasén Dam
    Chicoasén Dam is a major hydroelectric dam in Chiapas, Mexico, known as one of the largest power-generating facilities in the country.
  • C. San Carlos Dam
    San Carlos Dam is a major concrete gravity dam in Arizona that creates San Carlos Lake and provides irrigation water, flood control, and hydroelectric power along the Gila River.
  • D. Angostura Dam
    Angostura Dam is a hydroelectric power facility located on Chile’s Biobío River, contributing to the country’s renewable energy generation.
  • E. Angostura Dam
    Angostura Dam is a major hydroelectric dam in Mexico that forms part of the country’s important Grijalva River power generation system.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6716995b88190a8514b41232b0e94 completed April 20, 2026, 6:33 p.m.
Created at: April 11, 2026, 11:40 p.m.