Triple

T24909776
Position Surface form Disambiguated ID Type / Status
Subject La Yesca Dam E623813 entity
Predicate plantName P123194 FINISHED
Object La Yesca Hydroelectric Power Plant
La Yesca Hydroelectric Power Plant is a major hydroelectric facility in Mexico that generates electricity using water impounded by the La Yesca Dam on the Santiago River.
E1674246 NE FINISHED

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: La Yesca Hydroelectric Power Plant | Statement: [La Yesca Dam, plantName, La Yesca Hydroelectric Power Plant]
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: La Yesca Hydroelectric Power Plant
Triple: [La Yesca Dam, plantName, La Yesca Hydroelectric Power Plant]
Generated description
La Yesca Hydroelectric Power Plant is a major hydroelectric facility in Mexico that generates electricity using water impounded by the La Yesca Dam on the Santiago River.

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_69e2fac797cc8190b30d77f4121099ac completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f4236e93c081908876aff0a06ed21a completed May 1, 2026, 3:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1075b2299481908f1b5e44c53aa06d completed May 22, 2026, 3:26 p.m.
NEDg Description generation batch_6a10765abfb881908ab8908e1e497f64 completed May 22, 2026, 3:29 p.m.
NED2 Entity disambiguation (via description) batch_6a107735ae30819095bf24d523279c69 completed May 22, 2026, 3:33 p.m.
Created at: April 18, 2026, 5:27 a.m.