Triple

T13771830
Position Surface form Disambiguated ID Type / Status
Subject Langon railway station E330897 entity
Predicate connectsTo P845 FINISHED
Object Montauban E112838 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: Montauban | Statement: [Langon railway station, connectsTo, Montauban]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montauban
Context triple: [Langon railway station, connectsTo, Montauban]
  • A. Montauban chosen
    Montauban is a historic city in southern France known for its red-brick architecture and role as the capital of the Tarn-et-Garonne department.
  • B. Gradignan
    Gradignan is a suburban commune in southwestern France’s Gironde department, forming part of the Bordeaux metropolitan area and known for its green spaces and wine-growing surroundings.
  • C. Carmaux
    Carmaux is a small industrial town in southern France known historically for its coal mining and glassmaking industries.
  • D. Pont-Saint-Esprit
    Pont-Saint-Esprit is a historic commune in southern France, known for its medieval bridge over the Rhône River and its location in the Gard department of the Occitanie region.
  • E. Peize
    Peize is a village in the Dutch province of Drenthe, known for its rural character and location within the municipality of Noordenveld.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0235aea881909ab4c721db081b00 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0e152ac8190b8d705295df4834a completed May 3, 2026, 9:40 p.m.
Created at: April 9, 2026, 10:10 p.m.