Triple

T9215225
Position Surface form Disambiguated ID Type / Status
Subject Chapelle du Rosaire de Vence E221225 entity
Predicate locatedIn P40 FINISHED
Object Vence E42953 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: Vence | Statement: [Chapelle du Rosaire de Vence, locatedIn, Vence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vence
Context triple: [Chapelle du Rosaire de Vence, locatedIn, Vence]
  • A. Vence chosen
    Vence is a picturesque hilltop town in the Alpes-Maritimes region of southeastern France, renowned for its medieval old town and its association with modern artists and writers.
  • B. Vinces
    Vinces is a small town and canton seat in Ecuador’s Los Ríos Province, known for its agricultural surroundings and riverside setting.
  • C. Vini Vici
    Vini Vici is an Israeli psytrance duo known for their high-energy festival anthems and collaborations with major electronic artists.
  • D. Victoriei
    Victoriei is a major Bucharest Metro interchange station serving as an important transit hub in Romania’s capital city.
  • E. Pobeda
    Pobeda is a Russian low-cost airline and a subsidiary of Aeroflot, operating domestic and international flights primarily from Moscow.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca83eae42c8190a0ea9e040710a277 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda0830a8819096a186ed2e976cba completed April 1, 2026, 8:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0b1ba860c8190b621b9fe88bc6ba2 completed April 4, 2026, 6:37 a.m.
Created at: March 30, 2026, 7:27 p.m.