Triple

T22349248
Position Surface form Disambiguated ID Type / Status
Subject A10 motorway (Portugal) E552482 entity
Predicate passesNear P416 FINISHED
Object Bucelas 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: Bucelas | Statement: [A10 motorway (Portugal), passesNear, Bucelas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bucelas
Context triple: [A10 motorway (Portugal), passesNear, Bucelas]
  • A. Bucelas chosen
    Bucelas is a rural civil parish in the municipality of Loures, Portugal, known for its wine production and traditional countryside landscape.
  • B. Baarìa
    Baarìa is an Italian epic drama film directed by Giuseppe Tornatore that chronicles several generations of life, politics, and love in a Sicilian town.
  • C. Peredo
    Peredo is a Spanish-language surname borne by various individuals, including figures in Latin American history and culture.
  • D. Lahinja
    Lahinja is a river in southeastern Slovenia known for flowing through the Bela Krajina region and forming part of the Lahinja Landscape Park.
  • E. Provadia
    Provadia is a historic town in northeastern Bulgaria known for its ancient salt production and nearby prehistoric settlement, considered one of Europe's earliest urban centers.
  • 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.