Triple

T26211081
Position Surface form Disambiguated ID Type / Status
Subject Dijon–Vallorbe line E655488 entity
Predicate endPointCityCountry P151489 FINISHED
Object Dijon, France NE NERFINISHED

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: Dijon, France | Statement: [Dijon–Vallorbe line, endPointCityCountry, Dijon, France]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: endPointCityCountry
Context triple: [Dijon–Vallorbe line, endPointCityCountry, Dijon, France]
  • A. endPointIsCapitalOf
    Indicates that the endpoint entity serves as the capital city of the other related entity (typically a country, state, or region).
  • B. countryEndpoint
    Indicates a connection or interface that serves as the access point or boundary for interactions involving a specific country.
  • C. connectsCapitalOf
    Indicates a relationship where one entity serves as the capital city of another entity, linking the capital to the political or administrative unit it represents.
  • D. centralCityCountry chosen
    Indicates that a given city is the primary or central city associated with a specified country.
  • E. countryEnd
    Indicates that a country ceases to exist or loses its status as an independent political entity at a specified time or event.
  • F. None of above.

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_69ee5b49adb4819086545280d4ef6337 completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f60d1706d481908ca3c7c39ba0d157 completed May 2, 2026, 2:41 p.m.
PD Predicate disambiguation batch_69f5b007ec1c819092e2c3605933f60b completed May 2, 2026, 8:04 a.m.
Created at: April 26, 2026, 8:52 p.m.