Triple

T21959677
Position Surface form Disambiguated ID Type / Status
Subject A41 motorway (Portugal) E542289 entity
Predicate passesNear P416 FINISHED
Object Gondomar 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: Gondomar | Statement: [A41 motorway (Portugal), passesNear, Gondomar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gondomar
Context triple: [A41 motorway (Portugal), passesNear, Gondomar]
  • A. Gondomar chosen
    Gondomar is a municipality in Portugal’s Porto District, known for its proximity to Porto and its traditional goldsmithing and jewelry industry.
  • B. Henares
    Henares is a river in central Spain that flows through the Province of Guadalajara and is a tributary of the Jarama River.
  • C. San Sebastián de los Reyes
    San Sebastián de los Reyes is a municipality in central Spain known for its proximity to Madrid and its traditional bull-running festivities.
  • D. La Granada
    La Granada is a small municipality in the Alt Penedès comarca of Catalonia, Spain, known for its wine-growing landscape and rural character.
  • E. Jerez de García Salinas
    Jerez de García Salinas is a historic colonial town and important agricultural and cultural center in the Mexican state of Zacatecas.
  • 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_69e0c47fab1081908dc74a6545dbb051 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12454a290819094d4b56547816e3f completed April 28, 2026, 9:19 p.m.
Created at: April 16, 2026, 8 p.m.