Triple

T23446618
Position Surface form Disambiguated ID Type / Status
Subject Thomas Couture E565552 entity
Predicate placeOfBirth P1 FINISHED
Object Senlis, France NE NERFINISHED

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: Senlis, France | Statement: [Thomas Couture, placeOfBirth, Senlis, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Senlis, France
Context triple: [Thomas Couture, placeOfBirth, Senlis, France]
  • A. Senlis, Oise, France chosen
    Senlis is a historic commune in the Oise department of northern France, known for its well-preserved medieval old town and Gothic cathedral.
  • B. Blois, France
    Blois, France is a historic city on the Loire River known for its Renaissance château and as the birthplace of King Stephen of England.
  • C. Poissy, France
    Poissy, France is a commune in the western suburbs of Paris known for its historic architecture and major automobile manufacturing facilities.
  • D. Mont-Saint-Aignan, France
    Mont-Saint-Aignan, France is a suburban commune near Rouen in Normandy, known as a residential and educational center and as the birthplace of legendary cyclist Jacques Anquetil.
  • E. Champrosay, France
    Champrosay, France is a small village in the Île-de-France region known historically as a rural retreat for Parisian artists and writers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24584f9488190bb32730bd2ce023e completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a64939e4819085862e7482e14879 completed April 29, 2026, 6:33 a.m.
Created at: April 17, 2026, 5:51 p.m.