Triple

T35036282
Position Surface form Disambiguated ID Type / Status
Subject Itapeva E1010921 entity
Predicate governingBody P46 FINISHED
Object municipal council of Itapeva
The municipal council of Itapeva is the local legislative body responsible for creating laws, overseeing the municipal executive, and representing the interests of residents in the city of Itapeva, Brazil.
E2122977 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: municipal council of Itapeva | Statement: [Itapeva, governingBody, municipal council of Itapeva]
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: municipal council of Itapeva
Triple: [Itapeva, governingBody, municipal council of Itapeva]
Generated description
The municipal council of Itapeva is the local legislative body responsible for creating laws, overseeing the municipal executive, and representing the interests of residents in the city of Itapeva, Brazil.

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_69f76dcea02c81908542a223f6d5059f completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f7858aa5508190a07dde993b3356fc completed May 3, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37bd2d08ec8190a70b4e3e4af75fd3 completed June 21, 2026, 10:30 a.m.
NEDg Description generation batch_6a37be0aaefc81909c335f1bfb98f9bc completed June 21, 2026, 10:33 a.m.
NED2 Entity disambiguation (via description) batch_6a37be76c740819082de7596c5ec3299 completed June 21, 2026, 10:35 a.m.
Created at: May 3, 2026, 4:01 p.m.