Triple

T6685917
Position Surface form Disambiguated ID Type / Status
Subject Estádio da Luz E152097 entity
Predicate region P40 FINISHED
Object Lisbon District E128968 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: Lisbon District | Statement: [Estádio da Luz, region, Lisbon District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisbon District
Context triple: [Estádio da Luz, region, Lisbon District]
  • A. Lisbon District chosen
    Lisbon District is an administrative region in central-western Portugal that includes the nation’s capital, Lisbon, and several surrounding municipalities.
  • B. Porto District
    Porto District is an administrative region in northern Portugal centered on the city of Porto, known for its historic architecture, port wine production, and Atlantic coastline.
  • C. Baixa district of Lisbon
    The Baixa district of Lisbon is the city’s historic downtown area, known for its grand Pombaline architecture, grid-pattern streets, and bustling squares like Praça do Comércio and Rossio.
  • D. Braga District
    Braga District is an administrative region in northern Portugal known for its historic cities, academic institutions, and growing scientific research infrastructure.
  • E. Prazeres district
    Prazeres district is an urban neighborhood and administrative area within the coastal city of Jaboatão dos Guararapes in the state of Pernambuco, Brazil.
  • 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_69c687f9977c819097e7f5ada4fe522e completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b14cd6748190aad4badd5f253478 completed March 27, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7b0c0148190a232ed10950ec92b completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2:04 p.m.