Triple

T14648445
Position Surface form Disambiguated ID Type / Status
Subject Bloody Week E343914 entity
Predicate hasPlace P7849 FINISHED
Object Belleville E333404 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: Belleville | Statement: [Bloody Week, hasPlace, Belleville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belleville
Context triple: [Bloody Week, hasPlace, Belleville]
  • A. Belleville chosen
    Belleville is a vibrant, historically working-class neighborhood in northeastern Paris known for its multicultural character, street art, and lively food scene.
  • B. Belleville
    Belleville is a small village in south-central Wisconsin, known for its rural character and proximity to the Madison metropolitan area.
  • C. Belleville
    Belleville is a small Canadian city in southeastern Ontario, known as a regional service and commercial hub on the Bay of Quinte.
  • D. Belleville valley
    Belleville valley is a geographical valley region whose waters are collected and carried away by the Doron de Belleville river in the French Alps.
  • E. Saint‑Cloud
    Saint-Cloud is a western suburb of Paris, France, historically notable for its royal château and as the site of key political events during the French Revolution and Napoleonic era.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4ed037c8190a87bf43f839fec05 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5d7915c8190ae690810110c0b60 completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:26 a.m.