Triple

T15339250
Position Surface form Disambiguated ID Type / Status
Subject Rouen metropolitan area E366746 entity
Predicate hasPart P35 FINISHED
Object Oissel E1033263 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: Oissel | Statement: [Rouen metropolitan area, hasPart, Oissel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oissel
Context triple: [Rouen metropolitan area, hasPart, Oissel]
  • A. Oissel chosen
    Oissel is a commune in the Seine-Maritime department of the Normandy region in northern France, situated near the city of Rouen.
  • B. Valenciennes
    Valenciennes is a historic industrial city in northern France near the Belgian border, known for its former coal and steel industries and its rich artistic and architectural heritage.
  • C. Tournaisien
    Tournaisien is a regional variety of the Picard language traditionally spoken in and around the city of Tournai in Belgium.
  • D. Yvoir
    Yvoir is a small municipality and village in the Walloon region of Belgium, known for its scenic location along the Meuse River.
  • E. Leulinghem
    Leulinghem is a village in northern France historically notable as the site where a major truce was concluded during the Hundred Years' War.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e12eb7c8190944a260aa1aa9156 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff133f242c819099ec5288ae4a622f completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:17 a.m.