Triple

T35674336
Position Surface form Disambiguated ID Type / Status
Subject Vojnić E1030811 entity
Predicate governingBody P46 FINISHED
Object Municipality of Vojnić Council
The Municipality of Vojnić Council is the local representative and decision-making body responsible for municipal governance and policy-making in the Croatian municipality of Vojnić.
E2151619 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: Municipality of Vojnić Council | Statement: [Vojnić, governingBody, Municipality of Vojnić 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: Municipality of Vojnić Council
Triple: [Vojnić, governingBody, Municipality of Vojnić Council]
Generated description
The Municipality of Vojnić Council is the local representative and decision-making body responsible for municipal governance and policy-making in the Croatian municipality of Vojnić.

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_69f76e0acfc0819082c8495c2210ce73 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79fe3a7f88190b68858ec9d19904b completed May 3, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38728518848190a9cf4dbafe1910cf completed June 21, 2026, 11:23 p.m.
NEDg Description generation batch_6a387348579c81909fd91162bbf8792c completed June 21, 2026, 11:27 p.m.
NED2 Entity disambiguation (via description) batch_6a38744e5a9c81909b7a8ce5f27c8eb8 completed June 21, 2026, 11:31 p.m.
Created at: May 3, 2026, 4:05 p.m.