Triple

T37635424
Position Surface form Disambiguated ID Type / Status
Subject Cabiate E936473 entity
Predicate hasPublicAdministration P8853 FINISHED
Object municipal council of Cabiate
The municipal council of Cabiate is the elected governing body responsible for setting local policies, approving budgets, and overseeing the administration of the municipality of Cabiate in Italy.
E2236648 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 Cabiate | Statement: [Cabiate, hasPublicAdministration, municipal council of Cabiate]
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 Cabiate
Triple: [Cabiate, hasPublicAdministration, municipal council of Cabiate]
Generated description
The municipal council of Cabiate is the elected governing body responsible for setting local policies, approving budgets, and overseeing the administration of the municipality of Cabiate in Italy.

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_69f76ed31d8881908405da6c6d2f0463 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba95edda08190bea283657264ee8d completed May 6, 2026, 8:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40aff7ac6c81909fdde783e776b35e completed June 28, 2026, 5:24 a.m.
NEDg Description generation batch_6a40b3dbff54819087858ffecced5bcb completed June 28, 2026, 5:40 a.m.
NED2 Entity disambiguation (via description) batch_6a40b46dca7881909e788ac6307c29c1 completed June 28, 2026, 5:43 a.m.
Created at: May 3, 2026, 4:18 p.m.