Triple

T19495349
Position Surface form Disambiguated ID Type / Status
Subject TCL bus network E487754 entity
Predicate primaryHub P394 FINISHED
Object Grange Blanche 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: Grange Blanche | Statement: [TCL bus network, primaryHub, Grange Blanche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grange Blanche
Context triple: [TCL bus network, primaryHub, Grange Blanche]
  • A. Grange Blanche chosen
    Grange Blanche is a metro station in Lyon, France, located in the city’s 8th arrondissement and serving as a key access point to nearby hospitals and educational institutions.
  • B. Aiguille de Roc
    Aiguille de Roc is a prominent granite peak in the Mont Blanc massif of the French Alps, popular among experienced alpine climbers for its challenging routes and dramatic setting.
  • C. La Rosière
    La Rosière is a French Alpine ski resort in the Savoie region, known for its sunny slopes and cross-border ski area linked with La Thuile in Italy.
  • D. Dent de Morcles
    Dent de Morcles is a prominent mountain in the western Swiss Alps overlooking the Rhône Valley, known for its striking limestone cliffs and panoramic views.
  • E. Col d’Allos
    Col d’Allos is a high mountain pass in the French Alps, popular with cyclists and motorists for its scenic, winding route connecting alpine valleys.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63490c16481908423e304d82722d7 completed April 20, 2026, 2:13 p.m.
Created at: April 10, 2026, 1:40 p.m.