Triple

T32531343
Position Surface form Disambiguated ID Type / Status
Subject Copala Trique E831462 entity
Predicate languageOf P7445 FINISHED
Object San Juan Copala municipality
San Juan Copala municipality is a small indigenous municipality in Oaxaca, Mexico, known as a cultural and political center of the Copala Triqui people.
E2011415 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 Juan Copala municipality | Statement: [Copala Trique, languageOf, San Juan Copala municipality]
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 Juan Copala municipality
Triple: [Copala Trique, languageOf, San Juan Copala municipality]
Generated description
San Juan Copala municipality is a small indigenous municipality in Oaxaca, Mexico, known as a cultural and political center of the Copala Triqui people.

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_69f34924b1cc8190ad3aca0c0f012a7e completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c51cafe4819095e91e733b358c90 completed May 3, 2026, 3:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a347b7ec0bc81908f0c4b1744e2f6c0 completed June 18, 2026, 11:13 p.m.
NEDg Description generation batch_6a347c67712081908c1641c46b1abc0c completed June 18, 2026, 11:16 p.m.
NED2 Entity disambiguation (via description) batch_6a347cebd4f08190856060b0b27e2186 completed June 18, 2026, 11:19 p.m.
Created at: May 1, 2026, 1:01 a.m.