Triple

T2942593
Position Surface form Disambiguated ID Type / Status
Subject La Part-Dieu E79421 entity
Predicate railwayStationCountry P35840 FINISHED
Object France E861 NE FINISHED

How this triple was built (3 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: France | Statement: [La Part-Dieu, railwayStationCountry, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: France
Context triple: [La Part-Dieu, railwayStationCountry, France]
  • A. France chosen
    France is a major Western European nation known for its influential history, culture, and economy, and as a founding member of the European Union and the United Nations.
  • B. France Ô
    France Ô was a French public television channel dedicated to programming from France’s overseas departments and territories, operated by the France Télévisions group.
  • C. France 5
    France 5 is a French public television channel known for its focus on educational, cultural, and documentary programming.
  • D. France 4
    France 4 is a French public television channel, part of the France Télévisions group, known for broadcasting youth-oriented and family entertainment programming.
  • E. France and Italy
    France and Italy are neighboring European countries that share a long Alpine border, rich cultural heritage, and significant historical, economic, and touristic ties.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: railwayStationCountry
Context triple: [La Part-Dieu, railwayStationCountry, France]
  • A. associatedStationCountry chosen
    Indicates that there is a relationship linking a station to the country with which it is associated.
  • B. country1
    Indicates that the subject entity is a country (or represents a country) in the given context.
  • C. countryFeatured
    Indicates that a particular country is highlighted or given special prominence in a given context or presentation.
  • D. countryDuring
    Indicates that one entity exists, occurs, or is valid within the temporal span during which the other entity is recognized as a specific country.
  • E. associatedCountry
    Indicates that there is a relevant connection or linkage between an entity and a specific country, such as origin, operation, or affiliation.
  • F. None of above.

Provenance (4 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_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9871fc908190ad90e5b01b476b3f completed March 8, 2026, 3:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc5db4cc8190a2d286959034a544 completed March 11, 2026, 5:23 a.m.
PD Predicate disambiguation batch_69ad96088fb481909976b436c2b729d9 completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 2:56 p.m.