Triple

T8720113
Position Surface form Disambiguated ID Type / Status
Subject TER Bourgogne-Franche-Comté E206988 entity
Predicate hasStationInCity P78960 FINISHED
Object Vesoul E180722 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: Vesoul | Statement: [TER Bourgogne-Franche-Comté, hasStationInCity, Vesoul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vesoul
Context triple: [TER Bourgogne-Franche-Comté, hasStationInCity, Vesoul]
  • A. Vesoul chosen
    Vesoul is a commune in eastern France that serves as the administrative center (prefecture) of the Haute-Saône department.
  • B. Crevel
    Crevel is a vain, wealthy former perfumer and libertine in Honoré de Balzac’s novel "La Cousine Bette," emblematic of the corrupt bourgeois society he satirizes.
  • C. Profondeville
    Profondeville is a municipality in Wallonia, Belgium, situated along the Meuse River in Namur Province.
  • D. Valdeblore
    Valdeblore is a mountain commune in southeastern France known for its ski resort La Colmiane and its location in the southern Alps near the Mercantour National Park.
  • E. Auriol
    Auriol is a French surname most notably borne by Vincent Auriol, the first president of the Fourth French Republic.
  • 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_69ca835811d8819081ea00fd2a2c9a1c completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d02a52c81909f93622ae6920b80 completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28f599a481908e93bc5b5c41296e completed April 3, 2026, 2:41 a.m.
Created at: March 30, 2026, 6:36 p.m.