Triple

T4046701
Position Surface form Disambiguated ID Type / Status
Subject Ornex E84082 entity
Predicate hasBorderWith P224 FINISHED
Object Ferney-Voltaire E11855 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: Ferney-Voltaire | Statement: [Ornex, hasBorderWith, Ferney-Voltaire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ferney-Voltaire
Context triple: [Ornex, hasBorderWith, Ferney-Voltaire]
  • A. Ferney-Voltaire chosen
    Ferney-Voltaire is a French commune in the Ain department near Geneva, best known as the longtime residence of the philosopher Voltaire.
  • B. Trévoux
    Trévoux is a historic town in eastern France known for its medieval architecture and former role as the capital of the Dombes principality.
  • C. Savoye
    Savoye is a French surname most notably associated with the family who commissioned Le Corbusier’s iconic modernist Villa Savoye.
  • D. Thoiry
    Thoiry is a commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • E. Valbonne
    Valbonne is a picturesque village in southeastern France known for its preserved medieval old town and proximity to the technology hub of Sophia Antipolis.
  • 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_69aed930bd5c819083e7dcc14fc44f69 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb62593c8190ab8462c4d9cd9d08 completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b55652228c8190a9f301676deb0055 completed March 14, 2026, 12:36 p.m.
Created at: March 9, 2026, 3:37 p.m.