Triple

T13312722
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Rouen E317110 entity
Predicate contains P35 FINISHED
Object Lillebonne E691516 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: Lillebonne | Statement: [arrondissement of Rouen, contains, Lillebonne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lillebonne
Context triple: [arrondissement of Rouen, contains, Lillebonne]
  • A. Lillebonne chosen
    Lillebonne is a historic town in northern France’s Normandy region, known for its Roman archaeological remains and medieval heritage.
  • 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. Creil
    Creil is a commuter town in northern France’s Oise department, known as a regional rail hub connecting Paris with Picardy via major train and RER lines.
  • D. Braine-le-Château
    Braine-le-Château is a historic municipality in the Belgian province of Walloon Brabant, known for its medieval architecture and well-preserved village center.
  • E. Triel-sur-Seine
    Triel-sur-Seine is a commune in the Yvelines department of north-central France, situated along the Seine River to the northwest of Paris.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990f6d34c8190ba19dc2df7d42c22 completed April 11, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd54f5323c8190aa239bad461b0857 completed May 8, 2026, 3:13 a.m.
Created at: April 9, 2026, 9:29 p.m.