Triple

T10136394
Position Surface form Disambiguated ID Type / Status
Subject Saint-Omer E226865 entity
Predicate hasHistoricalName P2834 FINISHED
Object Sintermaris E226865 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: Sintermaris | Statement: [Saint-Omer, hasHistoricalName, Sintermaris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sintermaris
Context triple: [Saint-Omer, hasHistoricalName, Sintermaris]
  • A. Sintermaris chosen
    Sintermaris is an alternative historical or Latin name for the French town of Saint-Omer in the Pas-de-Calais region.
  • B. Sundborn
    Sundborn is a village in central Sweden best known as the home and artistic setting of painter Carl Larsson and his family.
  • C. Faventia
    Faventia is the ancient Roman name for the Italian city of Faenza, historically known as an important settlement in northern Italy.
  • D. Scandriglia
    Scandriglia is a small Italian municipality in the Lazio region, known for its historic hilltop setting and proximity to the Apennine mountains.
  • E. Agria
    Agria is a coastal town in the Magnesia regional unit of Thessaly, Greece, near the city of Volos.
  • 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_69ca8433ec308190b8b25a6fe359c34c completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cde87fae288190bb4f13e1ae90f50a completed April 2, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e5e4664081908c1821006bd2f57f completed April 5, 2026, 10:44 p.m.
Created at: March 30, 2026, 9:06 p.m.