Triple

T26937816
Position Surface form Disambiguated ID Type / Status
Subject municipality of Vodice E678432 entity
Predicate governingBody P46 FINISHED
Object Municipal Council of Vodice
The Municipal Council of Vodice is the representative legislative body responsible for making local decisions and regulations for the municipality of Vodice.
E1752770 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 Vodice | Statement: [municipality of Vodice, governingBody, Municipal Council of Vodice]
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 Vodice
Triple: [municipality of Vodice, governingBody, Municipal Council of Vodice]
Generated description
The Municipal Council of Vodice is the representative legislative body responsible for making local decisions and regulations for the municipality of Vodice.

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_69eeeb4d69588190a7c912164a1c37b3 completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f62050af2481909ce5687b36c4aabc completed May 2, 2026, 4:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a123aa6a36c819092dc6c8fd7a3fe1c completed May 23, 2026, 11:39 p.m.
NEDg Description generation batch_6a123ba9aea081909f20ff78ab91747e completed May 23, 2026, 11:43 p.m.
NED2 Entity disambiguation (via description) batch_6a123c56268c81909d0e71dad0aeab01 completed May 23, 2026, 11:46 p.m.
Created at: April 27, 2026, 6:16 a.m.