Triple

T18811373
Position Surface form Disambiguated ID Type / Status
Subject Charles de Bourbon, comte de Soissons E460023 entity
Predicate birthPlace P1 FINISHED
Object Nogent-le-Rotrou 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: Nogent-le-Rotrou | Statement: [Charles de Bourbon, comte de Soissons, birthPlace, Nogent-le-Rotrou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nogent-le-Rotrou
Context triple: [Charles de Bourbon, comte de Soissons, birthPlace, Nogent-le-Rotrou]
  • A. Nogent-le-Rotrou chosen
    Nogent-le-Rotrou is a historic town in the Eure-et-Loir department of northern France, known for its medieval château and location in the Perche region.
  • B. Nogent
    Nogent is a commune in northeastern France located within the Haute-Marne department in the Grand Est region.
  • C. Remigny
    Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
  • D. Tournan
    Tournan is a suburban town in the Île-de-France region of France that serves as an outer terminus for Paris’s RER commuter rail network.
  • E. Villeneuve-le-Comte
    Villeneuve-le-Comte is a commune in the Seine-et-Marne department in the Île-de-France region of north-central France.
  • 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a3dc01248190ab1c8943d180ca05 completed April 20, 2026, 3:56 a.m.
Created at: April 10, 2026, 11:53 a.m.