Triple

T18790768
Position Surface form Disambiguated ID Type / Status
Subject Rihour metro station E459506 entity
Predicate servesLandmark P7126 FINISHED
Object Vieux-Lille 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: Vieux-Lille | Statement: [Rihour metro station, servesLandmark, Vieux-Lille]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vieux-Lille
Context triple: [Rihour metro station, servesLandmark, Vieux-Lille]
  • A. Flers-lez-Lille
    Flers-lez-Lille was a former commune in northern France that became part of the new town of Villeneuve d’Ascq during municipal reorganizations in the 20th century.
  • B. Lille old town chosen
    Lille old town is the historic center of Lille, France, known for its cobbled streets, Flemish-style architecture, and vibrant cafés and boutiques.
  • C. Lillebonne
    Lillebonne is a historic town in northern France’s Normandy region, known for its Roman archaeological remains and medieval heritage.
  • D. Euralille, Lille
    Euralille is a major urban and commercial district in Lille, France, known for its contemporary architecture, business centers, and high-speed rail hub connecting key European cities.
  • E. Chamber of Commerce of Lille
    The Chamber of Commerce of Lille is a prominent commercial institution in Lille, France, housed in a landmark building renowned for its distinctive architecture by Louis Marie Cordonnier.
  • 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_69d8d396f54c8190ba49db31e8743842 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5978599008190aaceaff1b1e0a2c7 completed April 20, 2026, 3:03 a.m.
Created at: April 10, 2026, 11:53 a.m.