Triple

T6554190
Position Surface form Disambiguated ID Type / Status
Subject Claude Rouget de Lisle E152403 entity
Predicate placeOfDeath P21 FINISHED
Object Choisy-le-Roi E160112 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: Choisy-le-Roi | Statement: [Claude Rouget de Lisle, placeOfDeath, Choisy-le-Roi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Choisy-le-Roi
Context triple: [Claude Rouget de Lisle, placeOfDeath, Choisy-le-Roi]
  • A. Choisy-le-Roi chosen
    Choisy-le-Roi is a suburban commune in the southeastern outskirts of Paris, France, situated along the River Seine in the Val-de-Marne department.
  • B. Bagneux
    Bagneux is a suburban commune in the southern part of the Paris metropolitan area in France, known for its residential character and proximity to the capital.
  • C. Vaucresson
    Vaucresson is a suburban commune in the western outskirts of Paris, France, known for its residential character and green surroundings.
  • D. Nogent-sur-Marne
    Nogent-sur-Marne is a suburban commune in the eastern outskirts of Paris, France, known for its riverside setting along the Marne and its residential character.
  • E. Châtenay-Malabry
    Châtenay-Malabry is a suburban commune in the southwestern outskirts of Paris, France, known for its green spaces and residential character.
  • 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_69c688058d6881908c19b309cc55dbfa completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae0847d88190b38f9d7dba0faae1 completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69cdc60b0ae48190bb6e6f38bcbb05dd completed April 2, 2026, 1:27 a.m.
Created at: March 27, 2026, 1:51 p.m.