Triple

T20382023
Position Surface form Disambiguated ID Type / Status
Subject Angostura Dam E497857 entity
Predicate upstreamFrom P5955 FINISHED
Object Chicoasén 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: Chicoasén Dam | Statement: [Angostura Dam, upstreamFrom, Chicoasén Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chicoasén Dam
Context triple: [Angostura Dam, upstreamFrom, Chicoasén Dam]
  • A. Chicoasén Dam chosen
    Chicoasén Dam is a major hydroelectric dam in Chiapas, Mexico, known as one of the largest power-generating facilities in the country.
  • B. El Chocón Dam
    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.
  • 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. Morelos Dam
    Morelos Dam is a diversion dam on the lower Colorado River near the U.S.–Mexico border that channels water primarily for agricultural use in Mexico.
  • E. Cornalvo Dam
    Cornalvo Dam is an ancient Roman gravity dam in Spain, renowned for its well-preserved engineering and role in supplying water to the city of Mérida.
  • 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_69e0b4a5b7908190a972e4e7e698ae94 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678b0ee708190bdbe4aab28a61525 completed April 20, 2026, 7:04 p.m.
Created at: April 16, 2026, 11:27 a.m.