Triple

T22349200
Position Surface form Disambiguated ID Type / Status
Subject A43 motorway (Portugal) E552481 entity
Predicate serves P98 FINISHED
Object city of Porto NE NERFINISHED

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: city of Porto | Statement: [A43 motorway (Portugal), serves, city of Porto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Porto
Context triple: [A43 motorway (Portugal), serves, city of Porto]
  • A. City of Porto
    The City of Porto is a historic coastal city in northern Portugal, renowned for its port wine, medieval Ribeira district, and distinctive bridges over the Douro River.
  • B. City of Lisbon
    The City of Lisbon is the municipal government authority responsible for administering and providing local services to the community of Lisbon, Iowa.
  • C. Porto chosen
    Porto is Portugal’s second-largest city, renowned for its historic riverside district, rich maritime heritage, and production of port wine.
  • D. Porto
    Porto is a small coastal town in western Corsica, France, known as the main gateway to the scenic Gulf of Porto and its surrounding natural reserves and rock formations.
  • E. Lisbon and Porto
    Lisbon and Porto are Portugal’s two largest and most important cities, serving as the country’s political, economic, and cultural capital in the south and its major northern urban and industrial center, respectively.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e11e4a0ad08190a385b4d343cf6524 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1579a1c308190ae2174f99ae317ab completed April 29, 2026, 12:58 a.m.
Created at: April 16, 2026, 8:43 p.m.