Triple

T5995382
Position Surface form Disambiguated ID Type / Status
Subject Indre-et-Loire E133453 entity
Predicate borders P224 FINISHED
Object Loire-et-Cher E196339 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: Loire-et-Cher | Statement: [Indre-et-Loire, borders, Loire-et-Cher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loire-et-Cher
Context triple: [Indre-et-Loire, borders, Loire-et-Cher]
  • A. Loir-et-Cher chosen
    Loir-et-Cher is a department in central France known for its historic châteaux, including parts of the Loire Valley UNESCO World Heritage site.
  • B. Indre-et-Loire
    Indre-et-Loire is a department in central France known for its historic châteaux, vineyards, and the city of Tours in the Loire Valley.
  • C. Deux-Sèvres
    Deux-Sèvres is a department in western France known for its rural landscapes, historic towns such as Niort, and location within the Nouvelle-Aquitaine region.
  • D. Haute-Vienne
    Haute-Vienne is a department in west-central France, within the Nouvelle-Aquitaine region, known for its capital Limoges and its historic porcelain industry.
  • E. Sarthe
    Sarthe is a river in western France that flows through the regions of Normandy and Pays de la Loire before joining other waterways to form the Loire basin.
  • 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_69c00870ddbc81909880fa3864f4f38d completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04e943dcc8190a09817e8ef0e4188 completed March 22, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1355db96c8190b40b32b8d3a5dbdf completed March 23, 2026, 12:43 p.m.
Created at: March 22, 2026, 4:05 p.m.