Triple

T21613152
Position Surface form Disambiguated ID Type / Status
Subject Blois E533359 entity
Predicate hasTransport P1298 FINISHED
Object Gare de Blois – Chambord NE NERFINISHED

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: Gare de Blois – Chambord | Statement: [Blois, hasTransport, Gare de Blois – Chambord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gare de Blois – Chambord
Context triple: [Blois, hasTransport, Gare de Blois – Chambord]
  • A. Gare de Blois – Chambord chosen
    Gare de Blois – Chambord is the main railway station serving the town of Blois in central France, providing regional connections and access to the nearby Château de Chambord.
  • B. Gare de Châteauroux
    Gare de Châteauroux is the main railway station serving the town of Châteauroux in central France, providing regional and intercity train connections.
  • C. Gare d'Amboise
    Gare d'Amboise is the main railway station serving the town of Amboise in central France, providing regional train connections within the Loire Valley.
  • D. Gare de Romorantin-Lanthenay
    Gare de Romorantin-Lanthenay is the main railway station serving the town of Romorantin-Lanthenay in the Loir-et-Cher department of central France.
  • E. Gare d'Orléans
    Gare d'Orléans is the main railway station serving the city of Orléans in north-central France, providing regional and intercity train connections.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46411108190bba0d4176dffc9f3 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef3ba8d7cc8190a59706896a4c073a completed April 27, 2026, 10:34 a.m.
Created at: April 16, 2026, 6:33 p.m.