Triple

T22045348
Position Surface form Disambiguated ID Type / Status
Subject A28 motorway (Portugal) E544745 entity
Predicate connectsCity P4245 FINISHED
Object Esposende 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: Esposende | Statement: [A28 motorway (Portugal), connectsCity, Esposende]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Esposende
Context triple: [A28 motorway (Portugal), connectsCity, Esposende]
  • A. Esposende chosen
    Esposende is a coastal city and municipality in northern Portugal, known for its Atlantic beaches, natural parks, and traditional fishing heritage.
  • B. Alvescot
    Alvescot is a small rural village in Oxfordshire, England, known for its traditional stone cottages and historic parish church.
  • C. Frasqueira
    Frasqueira is a premium category of Madeira wine denoting long-aged, high-quality vintage bottlings.
  • D. Arruda
    Arruda is a neighborhood in Recife, Brazil, best known for housing the Estádio do Arruda, home stadium of the Santa Cruz Futebol Clube.
  • E. Arrouquelas
    Arrouquelas is a civil parish in the municipality of Rio Maior in central Portugal, known for its rural character and traditional Portuguese village life.
  • 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_69e11e32445c8190ab97089b48a130bb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1282e647481908e054b3ad19e2c15 completed April 28, 2026, 9:35 p.m.
Created at: April 16, 2026, 8:26 p.m.