Triple

T15669821
Position Surface form Disambiguated ID Type / Status
Subject Café de la Gare in Arles E377277 entity
Predicate near P350 FINISHED
Object Arles railway station E343863 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: Arles railway station | Statement: [Café de la Gare in Arles, near, Arles railway station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arles railway station
Context triple: [Café de la Gare in Arles, near, Arles railway station]
  • A. Arles railway station chosen
    Arles railway station is the main train station serving the historic city of Arles in southern France, providing regional and national rail connections.
  • B. Alès railway station
    Alès railway station is the main train station serving the town of Alès in southern France, providing regional rail connections within the Occitanie region.
  • C. Nîmes station
    Nîmes station is a major railway hub in southern France that connects the city of Nîmes to regional and high-speed national rail networks.
  • D. Albi-Ville railway station
    Albi-Ville railway station is the main passenger rail hub serving the town of Albi in southern France, providing regional connections within the Occitanie region.
  • E. Béziers station
    Béziers station is the main railway station serving the city of Béziers in southern France, providing regional and long-distance 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f1254508190a77a16b7bfd299ad completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff67a431208190b7e0d1eefd55504a completed May 9, 2026, 4:58 p.m.
Created at: April 10, 2026, 4:16 a.m.