Triple

T1841507
Position Surface form Disambiguated ID Type / Status
Subject TER E41185 entity
Predicate hasSubclass P1244 FINISHED
Object TER Centre-Val de Loire E49035 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: TER Centre-Val de Loire | Statement: [TER, hasSubclass, TER Centre-Val de Loire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TER Centre-Val de Loire
Context triple: [TER, hasSubclass, TER Centre-Val de Loire]
  • A. Centre-Val de Loire chosen
    Centre-Val de Loire is a central French region known for its Loire Valley châteaux, historic towns, and extensive agricultural landscapes.
  • B. Touraine
    Touraine is a historic region in central France, famed for its Loire Valley châteaux, wine production, and role as a former royal heartland.
  • C. La Charité-sur-Loire
    La Charité-sur-Loire is a historic town in central France on the banks of the Loire River, renowned for its medieval architecture and UNESCO-listed Cluniac priory.
  • D. Grand Est
    Grand Est is an administrative region in northeastern France that borders Germany, Belgium, Luxembourg, and Switzerland and includes major cities such as Strasbourg, Reims, and Metz.
  • E. south-central France
    South-central France is a largely rural, mountainous region dominated by the Massif Central, known for its volcanic landscapes, plateaus, and traditional agricultural areas.
  • 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_69a88647f9388190909bc36e795bdaec completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb03e7a7481909c5b902034390ef1 completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9bb92a88190a00b102d3be0383c completed March 8, 2026, 7:10 p.m.
Created at: March 4, 2026, 7:33 p.m.