Triple

T9316256
Position Surface form Disambiguated ID Type / Status
Subject Normandy (administrative region) E224127 entity
Predicate hasDepartment P35 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: [Normandy (administrative region), hasDepartment, Orne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orne
Context triple: [Normandy (administrative region), hasDepartment, 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. The Nore
    The Nore is a sandbank at the mouth of the Thames Estuary in England that historically served as a major Royal Navy anchorage and site of naval command.
  • E. Tejn
    Tejn is a small coastal town and fishing port on the Danish island of Bornholm in the Baltic Sea.
  • 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_69ca8425f4fc81909c1c586e9a5b7530 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd358846e48190a8aacfab19d88ae7 completed April 1, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c7acba54819086da668f234321de completed April 4, 2026, 8:11 a.m.
Created at: March 30, 2026, 7:37 p.m.