Triple

T13304353
Position Surface form Disambiguated ID Type / Status
Subject University of Rouen Normandy E316898 entity
Predicate locatedIn P40 FINISHED
Object Elbeuf E695936 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: Elbeuf | Statement: [University of Rouen Normandy, locatedIn, Elbeuf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elbeuf
Context triple: [University of Rouen Normandy, locatedIn, Elbeuf]
  • A. Elbeuf chosen
    Elbeuf is a historic town in northern France, known for its textile industry and noble associations dating back to the Ancien Régime.
  • B. Beaufays
    Beaufays is a village in the municipality of Chaudfontaine in the province of Liège, Belgium.
  • C. Beaunoir
    Beaunoir is a rare white wine grape variety, historically cultivated in parts of Europe and known primarily through its role in old viticultural lineages.
  • D. Gouvieux
    Gouvieux is a commune in northern France known for hosting the French residence of Aga Khan IV, Shah Karim al-Husayni.
  • E. Neuville
    Neuville is a small riverside municipality in the Capitale-Nationale region of Quebec, Canada, known for its historic charm and agricultural landscape along the St. Lawrence River.
  • 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_69d990a76adc8190ab9abcdb79a21ca8 completed April 11, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7266a316c81908361acc75581f211 completed May 3, 2026, 10:41 a.m.
Created at: April 9, 2026, 9:28 p.m.