Triple

T15339245
Position Surface form Disambiguated ID Type / Status
Subject Rouen metropolitan area E366746 entity
Predicate hasPart P35 FINISHED
Object Le Grand-Quevilly E651653 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: Le Grand-Quevilly | Statement: [Rouen metropolitan area, hasPart, Le Grand-Quevilly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Le Grand-Quevilly
Context triple: [Rouen metropolitan area, hasPart, Le Grand-Quevilly]
  • A. Le Grand-Quevilly chosen
    Le Grand-Quevilly is a suburban commune in the Normandy region of northern France, located near Rouen and known for its residential character and local cultural facilities.
  • B. Le Petit-Quevilly
    Le Petit-Quevilly is a suburban commune in the Normandy region of northern France, located just southwest of Rouen along the Seine River.
  • C. Yvetot
    Yvetot is a small town in the Seine-Maritime department of Normandy in northern France, historically known as the seat of a medieval "kingdom" within France.
  • D. Sandouville
    Sandouville is a French commune in the Normandy region, known for its industrial activity and proximity to the port city of Le Havre.
  • E. Louviers
    Louviers is a historic town in northern France’s Normandy region, known for its medieval architecture and former textile industry.
  • 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_69ff364bafd0819086b8aab1c216c6fa completed May 9, 2026, 1:27 p.m.
Created at: April 10, 2026, 3:17 a.m.