Triple

T12954290
Position Surface form Disambiguated ID Type / Status
Subject Linha de Cascais E309970 entity
Predicate passesThrough P225 FINISHED
Object Estoril E154403 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: Estoril | Statement: [Linha de Cascais, passesThrough, Estoril]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Estoril
Context triple: [Linha de Cascais, passesThrough, Estoril]
  • A. Estoril chosen
    Estoril is a coastal resort town in the municipality of Cascais, Portugal, known for its beaches, casino, and historic role as a refuge for exiled royalty and political figures.
  • B. Oeiras
    Oeiras is a coastal municipality in the Lisbon metropolitan area of Portugal, known for its residential suburbs, business parks, and proximity to the capital.
  • C. Oeiras
    Oeiras is a historic city in the Brazilian state of Piauí, known for being the state's first capital and for its well-preserved colonial architecture.
  • D. Odivelas, Portugal
    Odivelas, Portugal is a suburban city in the Lisbon metropolitan area known historically for its Cistercian monastery, where Queen Philippa of Lancaster died and was buried.
  • E. Palmela, Portugal
    Palmela, Portugal is a town and municipality in the Setúbal District known for its wine production, historic castle, and major automotive manufacturing facilities.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e2b0108819098a681f93e90dbda completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac754aec8190a5b975c9965eef61 completed May 6, 2026, 9:02 p.m.
Created at: April 9, 2026, 5:44 p.m.