Triple

T21959676
Position Surface form Disambiguated ID Type / Status
Subject A41 motorway (Portugal) E542289 entity
Predicate passesNear P416 FINISHED
Object Valongo 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: Valongo | Statement: [A41 motorway (Portugal), passesNear, Valongo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valongo
Context triple: [A41 motorway (Portugal), passesNear, Valongo]
  • A. Valongo chosen
    Valongo is a municipality in Portugal’s Porto District, known for its proximity to Porto and its mix of urban areas, industrial zones, and natural landscapes.
  • B. Papingo
    Papingo is a picturesque traditional village in the Zagori region of Epirus, northwestern Greece, known for its stone architecture and dramatic mountain scenery.
  • C. Cailungo
    Cailungo is a locality within the municipality of Serravalle in the Republic of San Marino.
  • D. Mabuyag
    Mabuyag is a small inhabited island in the western Torres Strait region of Queensland, Australia, known for its Indigenous Torres Strait Islander community and rich cultural heritage.
  • E. Pojulu
    Pojulu are an ethnic group of South Sudan, primarily inhabiting parts of Central Equatoria and speaking a Bari-related Nilotic language.
  • 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.