Triple

T25144913
Position Surface form Disambiguated ID Type / Status
Subject municipality of Ahome E629906 entity
Predicate governingBody P46 FINISHED
Object Ayuntamiento de Ahome
Ayuntamiento de Ahome is the municipal government council responsible for administering and managing public affairs in the municipality of Ahome, Sinaloa, Mexico.
E629906 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: Ayuntamiento de Ahome | Statement: [municipality of Ahome, governingBody, Ayuntamiento de Ahome]
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: Ayuntamiento de Ahome
Triple: [municipality of Ahome, governingBody, Ayuntamiento de Ahome]
Generated description
Ayuntamiento de Ahome is the municipal government council responsible for administering and managing public affairs in the municipality of Ahome, Sinaloa, 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_69e2ff349e408190a6f4a5a66279f54d completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f4684b30a8819088fb9f78020c3e1a completed May 1, 2026, 8:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a105d04dcb881909afaad0745d693f4 completed May 22, 2026, 1:41 p.m.
NEDg Description generation batch_6a105dd12cd08190b382c57952107fa6 completed May 22, 2026, 1:44 p.m.
NED2 Entity disambiguation (via description) batch_6a105ed31dd481908a09f91fcb860641 completed May 22, 2026, 1:49 p.m.
Created at: April 18, 2026, 6:29 a.m.