Triple

T13812260
Position Surface form Disambiguated ID Type / Status
Subject Ligne 2 E331921 entity
Predicate hasStation P35 FINISHED
Object Villiers E816337 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: Villiers | Statement: [Ligne 2, hasStation, Villiers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Villiers
Context triple: [Ligne 2, hasStation, Villiers]
  • A. Villiers
    Villiers is a prominent English aristocratic surname historically associated with influential political figures and members of the nobility.
  • B. Villiers chosen
    Villiers is a Paris Métro station in the 8th and 17th arrondissements, serving as an interchange between lines 2 and 3.
  • C. Villiers-Adam
    Villiers-Adam is a small commune in the Val-d'Oise department in northern France, known for its rural character and proximity to the forests of the Île-de-France region.
  • D. Fytche
    Fytche is an English surname historically associated with several notable figures and families in Britain.
  • E. Brougham Villiers
    Brougham Villiers is a notable member of the Villiers family, recognized primarily for his association with the prominent Villiers lineage.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de027198f8819095da3e714ac241f5 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8de34a4819090c99cb78b941003 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:12 p.m.