Triple

T19183108
Position Surface form Disambiguated ID Type / Status
Subject Nice-Ville station E469626 entity
Predicate hasStationCode P1289 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: [Nice-Ville station, hasStationCode, Nice-Ville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nice-Ville
Context triple: [Nice-Ville station, hasStationCode, 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. Noisseville
    Noisseville is a commune in northeastern France, near Metz in the Moselle department, known historically as the site of a major Franco-Prussian War battle.
  • D. 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.
  • E. Ville
    Ville is a common Finnish male given name, especially prevalent in the late 20th century.
  • 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f61e1c248190ba9e220c1be61ef8 completed April 20, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a06f8b6210481908d9c56fc02cf42fb completed May 15, 2026, 10:43 a.m.
Created at: April 10, 2026, 12:07 p.m.