Triple

T17023950
Position Surface form Disambiguated ID Type / Status
Subject TGV services E413016 entity
Predicate majorHub P2958 FINISHED
Object Nice-Ville E760491 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: Nice-Ville | Statement: [TGV services, majorHub, Nice-Ville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nice-Ville
Context triple: [TGV services, majorHub, Nice-Ville]
  • A. Nice‑Ville chosen
    Nice‑Ville is the main railway station in Nice, France, serving as a key hub for regional, national, and international train connections.
  • B. Ville Nouvelle
    Ville Nouvelle is the modern European-style district of Fez, Morocco, characterized by wide boulevards, contemporary architecture, and commercial centers that contrast with the historic medina.
  • C. Rawsonville
    Rawsonville is a small wine-producing town in South Africa’s Western Cape, known for its vineyards, cellars, and scenic Breede River Valley setting.
  • D. Ville
    Ville is a common Finnish male given name, especially prevalent in the late 20th century.
  • E. Vimont
    Vimont is the namesake of the Prix Peccot-Vimont, a French mathematical prize awarded by the Collège de France to recognize promising young mathematicians.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d5d2abbc81908943becf5f539fc6 completed April 18, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b514de481909c78c17a3014b468 completed May 10, 2026, 11:57 p.m.
Created at: April 10, 2026, 5:33 a.m.