Triple

T32756224
Position Surface form Disambiguated ID Type / Status
Subject Municipal government of Xalisco E837627 entity
Predicate legislativeBody P239 FINISHED
Object Xalisco municipal council
Xalisco municipal council is the local legislative body responsible for creating and overseeing municipal laws, policies, and governance in the municipality of Xalisco, Mexico.
E837627 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: Xalisco municipal council | Statement: [Municipal government of Xalisco, legislativeBody, Xalisco municipal council]
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: Xalisco municipal council
Triple: [Municipal government of Xalisco, legislativeBody, Xalisco municipal council]
Generated description
Xalisco municipal council is the local legislative body responsible for creating and overseeing municipal laws, policies, and governance in the municipality of Xalisco, Mexico.

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_69f34937f97c8190b7f84bea045df3ae completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6cce0ce6c8190aca71392382ec09f completed May 3, 2026, 4:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34a7be1018819084e2c007f9521c75 completed June 19, 2026, 2:21 a.m.
NEDg Description generation batch_6a34a86924fc8190aa0f93de920232f8 completed June 19, 2026, 2:24 a.m.
NED2 Entity disambiguation (via description) batch_6a34a966b7708190ae330e5799cd61ef completed June 19, 2026, 2:28 a.m.
Created at: May 1, 2026, 1:12 a.m.