Triple

T27631527
Position Surface form Disambiguated ID Type / Status
Subject Luis Urzúa E696348 entity
Predicate employer P7 FINISHED
Object San Esteban Mining Company
San Esteban Mining Company is a Chilean mining firm best known internationally as the operator of the San José mine involved in the 2010 Copiapó mining accident.
 E1781415 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: San Esteban Mining Company | Statement: [Luis Urzúa, employer, San Esteban Mining Company]
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: San Esteban Mining Company
Triple: [Luis Urzúa, employer, San Esteban Mining Company]
Generated description
San Esteban Mining Company is a Chilean mining firm best known internationally as the operator of the San José mine involved in the 2010 Copiapó mining accident.

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_69ef59092c8881908114ad184248cc46 completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f63123c4808190b919dccfab60b582 completed May 2, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12d0fb09408190a65a813b69c90da5 completed May 24, 2026, 10:20 a.m.
NEDg Description generation batch_6a12d18c931081909d1620e19d46e1c8 completed May 24, 2026, 10:23 a.m.
NED2 Entity disambiguation (via description) batch_6a12d290bc5081909bd6c027b8a5b4d4 completed May 24, 2026, 10:27 a.m.
Created at: April 27, 2026, 2:21 p.m.