Triple

T14005645
Position Surface form Disambiguated ID Type / Status
Subject Bolsa de Bilbao E336939 entity
Predicate nativeName P15 FINISHED
Object Bolsa de Bilbao E336939 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: Bolsa de Bilbao | Statement: [Bolsa de Bilbao, nativeName, Bolsa de Bilbao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bolsa de Bilbao
Context triple: [Bolsa de Bilbao, nativeName, Bolsa de Bilbao]
  • A. Bolsa de Bilbao chosen
    Bolsa de Bilbao is one of Spain’s main regional stock exchanges, located in Bilbao and forming part of the country’s integrated securities market.
  • B. Bolsa de Valencia
    Bolsa de Valencia is a regional Spanish stock exchange based in Valencia that forms part of Spain’s integrated securities market.
  • C. Bolsa de Barcelona
    Bolsa de Barcelona is one of Spain’s main regional stock exchanges, facilitating the trading of equities and other financial instruments, particularly for companies based in Catalonia.
  • D. Bolsa de Madrid
    Bolsa de Madrid is Spain’s largest and most important stock exchange, located in Madrid and serving as a central hub for trading Spanish and international securities.
  • E. Bilbao
    Bilbao is a station on Madrid's Metro network, serving Line 1 and located in the central Chamberí district.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed327d88190a53af5768468a8eb completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbaca41d24819086df2329ea3c4c9c completed May 6, 2026, 9:03 p.m.
Created at: April 9, 2026, 10:19 p.m.