Triple

T6729539
Position Surface form Disambiguated ID Type / Status
Subject Vendée E153598 entity
Predicate hasMajorTown P316 FINISHED
Object Challans E574807 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: Challans | Statement: [Vendée, hasMajorTown, Challans]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Challans
Context triple: [Vendée, hasMajorTown, Challans]
  • A. Challans chosen
    Challans is a commune in western France known for its traditional poultry farming and as one of the main towns in the Vendée department.
  • B. Two Lorries
    "Two Lorries" is a poem by Seamus Heaney that intertwines memories of his mother with the 1993 IRA bombing in Northern Ireland, reflecting on loss, violence, and the passage of time.
  • C. The Highway
    "The Highway" is a science fiction short story by Ray Bradbury that explores the impact of distant, world-changing events on an isolated Mexican farmer living beside a remote road.
  • D. Chas
    Chas is a common diminutive or nickname for the given name Charles.
  • E. The Chase
    The Chase is a 1966 American drama-thriller film directed by Arthur Penn, known for its intense portrayal of small-town corruption and social tension, and produced by the Zanuck/Brown Company.
  • 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_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d15591c8819082620d194eba3e9d completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b00ba9c8190aaae2220972ff4f2 completed March 27, 2026, 10:56 p.m.
Created at: March 27, 2026, 2:09 p.m.