Triple

T30700460
Position Surface form Disambiguated ID Type / Status
Subject Altopascio E781594 entity
Predicate governingBody P46 FINISHED
Object municipal council of Altopascio
The municipal council of Altopascio is the elected legislative body responsible for setting local policies, approving budgets, and overseeing municipal governance in the Italian town of Altopascio.
E1926724 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 Altopascio | Statement: [Altopascio, governingBody, municipal council of Altopascio]
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 Altopascio
Triple: [Altopascio, governingBody, municipal council of Altopascio]
Generated description
The municipal council of Altopascio is the elected legislative body responsible for setting local policies, approving budgets, and overseeing municipal governance in the Italian town of Altopascio.

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_69f224ab24e08190991d6edb6df58e8b completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68bde6fac8190a20ba82428e655ab completed May 2, 2026, 11:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a28711844408190946b2d573fe6440e completed June 9, 2026, 8:01 p.m.
NEDg Description generation batch_6a287689fc648190a3ccf1b5c94a40ad completed June 9, 2026, 8:24 p.m.
NED2 Entity disambiguation (via description) batch_6a28770182548190b06963ca19108cb8 completed June 9, 2026, 8:26 p.m.
Created at: April 29, 2026, 8:34 p.m.