Triple

T12502642
Position Surface form Disambiguated ID Type / Status
Subject Aymeric Laporte E298866 entity
Predicate placeOfBirth P1 FINISHED
Object Agen, France E324679 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: Agen, France | Statement: [Aymeric Laporte, placeOfBirth, Agen, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agen, France
Context triple: [Aymeric Laporte, placeOfBirth, Agen, France]
  • A. Agen, France chosen
    Agen, France is a historic town in southwestern France known for its prunes and location between Bordeaux and Toulouse in the Lot-et-Garonne department.
  • B. Gennes, France
    Gennes is a commune in western France, situated along the Loire River in the Maine-et-Loire department, known for its scenic landscapes and historical heritage.
  • C. Thorey-Lyautey, France
    Thorey-Lyautey is a small commune in northeastern France best known as the place where Marshal Hubert Lyautey, a prominent French military leader and colonial administrator, died.
  • D. Nice, France
    Nice, France is a major Mediterranean coastal city on the French Riviera known for its picturesque Promenade des Anglais, vibrant arts scene, and historic old town.
  • E. Douai, France
    Douai, France is a historic town in northern France known for its medieval belfry, legal and university traditions, and role as a regional administrative center.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dfcea188190a929db1aabe1a286 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bb38e048190bbc96244b71953b6 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.