Triple

T18311947
Position Surface form Disambiguated ID Type / Status
Subject Balma-Gramont metro station E438648 entity
Predicate fareZone P844 FINISHED
Object Tisséo urban area NE NERFINISHED

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: Tisséo urban area | Statement: [Balma-Gramont metro station, fareZone, Tisséo urban area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tisséo urban area
Context triple: [Balma-Gramont metro station, fareZone, Tisséo urban area]
  • A. San Bernardo urban area
    San Bernardo urban area is the principal urban settlement centered on the city of San Bernardo in Chile’s Maipo Province, forming part of the greater Santiago metropolitan region.
  • B. Bata metropolitan area
    The Bata metropolitan area is the urban region centered on the city of Bata in Equatorial Guinea, encompassing its surrounding communities and functioning as a major economic and population hub on the country’s mainland coast.
  • C. Shiga urban area
    The Shiga urban area is a metropolitan region in Shiga Prefecture, Japan, centered around cities such as Ōtsu and Kusatsu along the southern shores of Lake Biwa.
  • D. Lafia urban area
    Lafia urban area is the main urban center and capital city of Nasarawa State in central Nigeria, serving as a regional hub for administration, commerce, and transport.
  • E. Limoges urban area
    The Limoges urban area is a metropolitan region in central France centered on the city of Limoges, known historically for its porcelain industry and regional administrative importance.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tisséo urban area
Target entity description: Tisséo urban area is the public transport network coverage zone for the Toulouse metropolitan region in southwestern France.
  • A. San Bernardo urban area
    San Bernardo urban area is the principal urban settlement centered on the city of San Bernardo in Chile’s Maipo Province, forming part of the greater Santiago metropolitan region.
  • B. Bata metropolitan area
    The Bata metropolitan area is the urban region centered on the city of Bata in Equatorial Guinea, encompassing its surrounding communities and functioning as a major economic and population hub on the country’s mainland coast.
  • C. Shiga urban area
    The Shiga urban area is a metropolitan region in Shiga Prefecture, Japan, centered around cities such as Ōtsu and Kusatsu along the southern shores of Lake Biwa.
  • D. Lafia urban area
    Lafia urban area is the main urban center and capital city of Nasarawa State in central Nigeria, serving as a regional hub for administration, commerce, and transport.
  • E. Limoges urban area
    The Limoges urban area is a metropolitan region in central France centered on the city of Limoges, known historically for its porcelain industry and regional administrative importance.
  • F. None of above. chosen

Provenance (2 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50219cd548190b8da5f402d5da773 completed April 19, 2026, 4:26 p.m.
Created at: April 10, 2026, 10:36 a.m.