Triple

T9952094
Position Surface form Disambiguated ID Type / Status
Subject Compagnie des chemins de fer de l’Est E195353 entity
Predicate servedCity P3936 FINISHED
Object Épinal E391263 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: Épinal | Statement: [Compagnie des chemins de fer de l’Est, servedCity, Épinal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Épinal
Context triple: [Compagnie des chemins de fer de l’Est, servedCity, Épinal]
  • A. Épinal chosen
    Épinal is a historic town in northeastern France, known for its traditional image-printing industry and picturesque setting in the Vosges region.
  • B. Besançon
    Besançon is a historic city in eastern France, known for its well-preserved Vauban fortifications, rich cultural heritage, and role as a regional administrative and educational center.
  • C. Montélimar
    Montélimar is a town in southeastern France, known as the "gateway to Provence" and famous for its traditional nougat confectionery.
  • D. Brioude
    Brioude is a historic town in south-central France known for its Romanesque Basilica of Saint-Julien and its location in the Haute-Loire department of the Auvergne region.
  • E. Tournus
    Tournus is a historic town in eastern France’s Burgundy region, known for its Romanesque abbey and riverside setting along the Saône.
  • 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_69ca82e96a108190932bd1fc4acd73a0 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb6922f888190b5c4b58fbe21bea2 completed April 2, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6a79eb5c08190ae75797556bc0943 completed April 8, 2026, 7:08 p.m.
Created at: March 30, 2026, 8:46 p.m.