Triple

T4711083
Position Surface form Disambiguated ID Type / Status
Subject Pont de Saint-Laurent (Grenoble) E104511 entity
Predicate hasViewOf P854 FINISHED
Object old town of Grenoble 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: old town of Grenoble | Statement: [Pont de Saint-Laurent (Grenoble), hasViewOf, old town of Grenoble]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: old town of Grenoble
Context triple: [Pont de Saint-Laurent (Grenoble), hasViewOf, old town of Grenoble]
  • 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. Old town of Valence
    The Old town of Valence is the historic center of Valence, France, characterized by its medieval streets, traditional architecture, and cultural heritage sites.
  • D. 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.
  • 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_69be39ef1bec8190a741a918dd3c3f5a completed March 21, 2026, 6:25 a.m.
Created at: March 20, 2026, 1:17 p.m.