Triple

T16469910
Position Surface form Disambiguated ID Type / Status
Subject Canton of Moreuil E400032 entity
Predicate administrativeCentre P1474 FINISHED
Object Moreuil E797045 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: Moreuil | Statement: [Canton of Moreuil, administrativeCentre, Moreuil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moreuil
Context triple: [Canton of Moreuil, administrativeCentre, Moreuil]
  • A. Moreuil chosen
    Moreuil is a small commune in northern France, located in the Somme department in the Hauts-de-France region.
  • B. Chamrousse
    Chamrousse is a French alpine ski resort and mountain commune in the Alps, known for its winter sports facilities and scenic high-altitude landscapes.
  • C. Villeroux
    Villeroux is a small village in the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
  • D. Olbreuse
    Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
  • E. Gressoney
    Gressoney is a mountain community in the Italian Alps known as a key center of Walser culture, language, and traditions.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32dcfed6c8190b8dbe4b65b0ab817 completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ed25bcc819090ccca4705e4e24f completed May 10, 2026, 11:41 a.m.
Created at: April 10, 2026, 5:11 a.m.