Triple

T18992135
Position Surface form Disambiguated ID Type / Status
Subject La Marche E464711 entity
Predicate contains P35 FINISHED
Object Le Dorat 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: Le Dorat | Statement: [La Marche, contains, Le Dorat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Le Dorat
Context triple: [La Marche, contains, Le Dorat]
  • A. Le Dorat chosen
    Le Dorat is a historic small town in west-central France known for its medieval architecture and Romanesque collegiate church.
  • B. Lalumière
    Lalumière is a French surname most notably borne by Catherine Lalumière, a prominent French politician and former European Parliament member.
  • C. Loffre
    Loffre is a small commune in northern France located within the administrative area of the Douai arrondissement in the Nord department.
  • D. Lauzerte
    Lauzerte is a medieval hilltop village in southern France known for its well-preserved historic center and picturesque views over the surrounding countryside.
  • E. Le Châble
    Le Châble is a village in the Swiss canton of Valais that serves as the main gateway and transport hub for the Verbier ski area in the Val de Bagnes.
  • 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_69d8dd01a56c81909694a128c66b21d7 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d67eedc88190bfb7b327b47db76d completed April 20, 2026, 7:32 a.m.
Created at: April 10, 2026, 12:01 p.m.