Triple

T12251350
Position Surface form Disambiguated ID Type / Status
Subject Gare d'Orléans E291977 entity
Predicate hasNameInLanguage P15 FINISHED
Object Gare d'Orléans (French) E291977 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: Gare d'Orléans (French) | Statement: [Gare d'Orléans, hasNameInLanguage, Gare d'Orléans (French)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gare d'Orléans (French)
Context triple: [Gare d'Orléans, hasNameInLanguage, Gare d'Orléans (French)]
  • A. Gare d'Orléans chosen
    Gare d'Orléans is the main railway station serving the city of Orléans in north-central France, providing regional and intercity train connections.
  • B. Gare des Aubrais-Orléans
    Gare des Aubrais-Orléans is a major railway station serving the Orléans area in north-central France, functioning as an important regional and intercity transport hub.
  • C. Gare d'Orchies
    Gare d'Orchies is the main railway station serving the commune of Orchies in northern France, providing regional train connections to surrounding cities.
  • D. Gare de Tours
    Gare de Tours is the main railway station serving the city of Tours in central France, acting as a regional and intercity transport hub.
  • E. Gare d’Orange
    Gare d’Orange is the main railway station serving the town of Orange in southeastern 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 (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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cc6983c81909bf479d15879a357 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60abbf75c81908a25e1c0a4aee8c1 completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:52 p.m.