Triple

T4910802
Position Surface form Disambiguated ID Type / Status
Subject Grésivaudan Valley E110225 entity
Predicate administrativeCenterNearby P34698 FINISHED
Object Grenoble E91863 NE FINISHED

How this triple was built (3 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 | Statement: [Grésivaudan Valley, administrativeCenterNearby, Grenoble]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grenoble
Context triple: [Grésivaudan Valley, administrativeCenterNearby, Grenoble]
  • A. Grenoble chosen
    Grenoble is a major city in southeastern France, known for its Alpine setting, universities, and research centers.
  • B. 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.
  • C. Chambéry
    Chambéry is a historic city in southeastern France that served as the political and cultural center of the former Duchy of Savoy.
  • D. 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.
  • E. Clermont-Ferrand
    Clermont-Ferrand is a central French city known for its historic cathedral built of black volcanic stone and as the longtime headquarters of the tire company Michelin.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: administrativeCenterNearby
Context triple: [Grésivaudan Valley, administrativeCenterNearby, Grenoble]
  • A. administrativeCentreNearby chosen
    Indicates that an administrative centre is located close to the referenced entity in geographic or spatial terms.
  • B. nearbyUrbanCenter
    Indicates that one location is geographically close to an urban center, such as a city or large town.
  • C. governingBodyNearby
    Indicates that a governing body is located in close physical proximity to the referenced entity or area.
  • D. locatedNearPass
    Indicates that one entity is situated close to a mountain pass or similar passageway.
  • E. nearbyUSBase
    Indicates that one entity is geographically close to a United States military base.
  • F. None of above.

Provenance (4 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_69bd44132b94819088522d92beaadc78 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e9acc0c819080b07e2e7924d163 completed March 20, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06982c5081908c275019c5d6b1c1 completed March 21, 2026, 8:59 p.m.
PD Predicate disambiguation batch_69bd6c325e188190823836d79934e9bc completed March 20, 2026, 3:48 p.m.
Created at: March 20, 2026, 1:29 p.m.