Triple

T18490012
Position Surface form Disambiguated ID Type / Status
Subject Western Quebec E451792 entity
Predicate contains P35 FINISHED
Object La Sarre E992654 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: La Sarre | Statement: [Western Quebec, contains, La Sarre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Sarre
Context triple: [Western Quebec, contains, La Sarre]
  • A. La Sarre chosen
    La Sarre is a small town in western Quebec, Canada, known as a regional service and agricultural center near the Ontario border.
  • B. Saar
    Saar was a short-lived postwar German protectorate that competed independently in international events, including the Olympics, before rejoining West Germany.
  • C. Saar
    Saar is a residential town and affluent suburb in the Kingdom of Bahrain, known for its archaeological sites and proximity to the capital, Manama.
  • D. Saar
    The Saar is a river in western Europe that flows through northeastern France and western Germany, giving its name to the German state of Saarland.
  • E. Genesee-Moselle
    Genesee-Moselle is a residential neighborhood located on the East Side of Buffalo, New York, known for its urban character and community-oriented environment.
  • 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_69d8d3855d50819097fc8561b0299dd9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e531db64b8819089f638718dddb1dc completed April 19, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a04713a1ec88190b80f561172adaa62 completed May 13, 2026, 12:40 p.m.
Created at: April 10, 2026, 11:35 a.m.