Triple

T21782672
Position Surface form Disambiguated ID Type / Status
Subject Central Walloon E537750 entity
Predicate closelyRelatedTo P37 FINISHED
Object Lorrain 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: Lorrain | Statement: [Central Walloon, closelyRelatedTo, Lorrain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lorrain
Context triple: [Central Walloon, closelyRelatedTo, Lorrain]
  • A. Lorrain chosen
    Lorrain is a Romance regional language spoken in parts of eastern France and neighboring areas of Belgium, including the Walloon region.
  • B. Derby Lorrain
    Derby Lorrain is a French football rivalry match between clubs from the Lorraine region, most notably AS Nancy and FC Metz.
  • C. Prunelart
    Prunelart is a rare, traditional red wine grape variety from southwest France, historically associated with the Gaillac region and valued for producing deeply colored, robust wines.
  • D. Montesson
    Montesson is a suburban commune in the Yvelines department of north-central France, located to the northwest of Paris along the Seine River.
  • E. Vigny
    Vigny is a small commune in the Val-d'Oise department in the Île-de-France region of northern 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_69e0c47198f881908cb0d237266c10e9 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0462ed0ec81908833e18c164e8b5c completed April 28, 2026, 5:31 a.m.
Created at: April 16, 2026, 6:52 p.m.