Triple

T16036818
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Péronne E388988 entity
Predicate contains P35 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: [arrondissement of Péronne, contains, Moreuil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moreuil
Context triple: [arrondissement of Péronne, contains, 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1833ca66881909475fac23e6fbf86 completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff796fafc8190b6cfb2d8ea502eef completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 4:56 a.m.