Triple

T4711066
Position Surface form Disambiguated ID Type / Status
Subject Pont de Saint-Laurent (Grenoble) E104511 entity
Predicate connects P390 FINISHED
Object Grenoble city centre E91863 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: Grenoble city centre | Statement: [Pont de Saint-Laurent (Grenoble), connects, Grenoble city centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grenoble city centre
Context triple: [Pont de Saint-Laurent (Grenoble), connects, Grenoble city centre]
  • A. Grenoble chosen
    Grenoble is a major city in southeastern France, known for its Alpine setting, universities, and research centers.
  • B. Briançon
    Briançon is a fortified alpine town in southeastern France, known as one of the highest cities in Europe and a key historical stronghold near the Italian border.
  • C. Aix-les-Bains
    Aix-les-Bains is a French spa and resort town in the Savoie department, renowned for its thermal baths and lakeside setting on the edge of the Alps.
  • D. Évian-les-Bains
    Évian-les-Bains is a French spa and resort town in the Alps renowned worldwide for its mineral water and scenic lakeside setting.
  • E. Échirolles
    Échirolles is a suburban commune in southeastern France, forming part of the Grenoble metropolitan area in the Isère department.
  • 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_69bd43eac3c08190af7e4020c6c3704c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63ee712c81908da60aa0df58efe0 completed March 20, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be1078784c81908e9a3fd0b168cadc completed March 21, 2026, 3:28 a.m.
Created at: March 20, 2026, 1:17 p.m.