Triple

T6977800
Position Surface form Disambiguated ID Type / Status
Subject Charles de La Baume Le Blanc E161757 entity
Predicate familyName P18 FINISHED
Object La Baume Le Blanc E603311 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: La Baume Le Blanc | Statement: [Charles de La Baume Le Blanc, familyName, La Baume Le Blanc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Baume Le Blanc
Context triple: [Charles de La Baume Le Blanc, familyName, La Baume Le Blanc]
  • A. La Baume Le Blanc chosen
    La Baume Le Blanc is a French noble family historically associated with the aristocracy and notable figures such as Laurent de La Baume Le Blanc.
  • B. La Verrière
    La Verrière is a suburban commune in the Yvelines department of north-central France, located within the Paris metropolitan area.
  • C. Saint-Côme blanc
    Saint-Côme blanc is a white grape variety traditionally used in the production of wines from the Entraygues-le-Fel appellation in southwestern France.
  • D. La Baille
    La Baille is the traditional nickname for the French Naval Academy, the institution responsible for training officers of the French Navy.
  • E. Les Breuleux
    Les Breuleux is a small Swiss municipality and village in the Jura region, known for its watchmaking tradition and rural alpine setting.
  • 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_69c68854a0d88190bc0bf82263f1afce completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db68d25c8190a1776908619ad979 completed March 27, 2026, 7:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a0ad57c81909aec9f619dc68bd7 completed March 28, 2026, 5:41 a.m.
Created at: March 27, 2026, 2:31 p.m.