Triple

T19250140
Position Surface form Disambiguated ID Type / Status
Subject Place du Théâtre E481365 entity
Predicate hasNearbyPublicTransport P15438 FINISHED
Object Lille metro NE NERFINISHED

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: Lille metro | Statement: [Place du Théâtre, hasNearbyPublicTransport, Lille metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lille metro
Context triple: [Place du Théâtre, hasNearbyPublicTransport, Lille metro]
  • A. Lille Metro chosen
    The Lille Metro is a fully automated light metro system serving the city of Lille and its metropolitan area in northern France.
  • B. Lille tramway
    The Lille tramway is a light rail system serving the Lille metropolitan area in northern France, complementing the city’s metro and bus networks.
  • C. Charleroi Metro
    Charleroi Metro is a light rail and pre-metro transit system serving the Belgian city of Charleroi and its suburbs.
  • D. Lyon Metro
    Lyon Metro is the rapid transit system serving the French city of Lyon and its suburbs, known for its rubber-tyred lines and integration with the city’s broader public transport network.
  • E. Lille-Europe station
    Lille-Europe station is a major high-speed railway hub in Lille, France, serving international Eurostar and TGV services connecting the city with destinations across France, the UK, Belgium, and beyond.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb3001308190913e24343769be8d completed April 20, 2026, 10:08 a.m.
Created at: April 10, 2026, 1:27 p.m.