Triple

T5331686
Position Surface form Disambiguated ID Type / Status
Subject Alençon E123324 entity
Predicate locatedIn P40 FINISHED
Object Orne E123324 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: Orne | Statement: [Alençon, locatedIn, Orne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orne
Context triple: [Alençon, locatedIn, Orne]
  • A. Orne chosen
    Orne is a rural department in northwestern France known for its pastoral landscapes, horse breeding, and historic towns such as Alençon.
  • B. Orne River
    The Orne River is a waterway in northwestern France that flows through Normandy before emptying into the English Channel at the port town of Ouistreham.
  • C. Olne
    Olne is a small municipality in the province of Liège in Wallonia, eastern Belgium, known for its rural character and traditional village charm.
  • D. Avre
    The Avre is a river in northern France that serves as a tributary of the Eure, flowing through the Normandy and Centre-Val de Loire regions.
  • E. Eemnes
    Eemnes is a small town and municipality in the central Netherlands known for its characteristic polder landscape and historic village centers.
  • 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_69bd46477f9081909d242a327d749466 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85aab0308190990626cbc9da3e21 completed March 20, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18b75c388190955e4e31d71ffedb completed March 21, 2026, 10:16 p.m.
Created at: March 20, 2026, 2 p.m.