Triple

T16559302
Position Surface form Disambiguated ID Type / Status
Subject Tinta Barroca E402293 entity
Predicate usedWithOtherVarieties P4791 FINISHED
Object Tinto Cão E1220075 NE FINISHED

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: Tinto Cão | Statement: [Tinta Barroca, usedWithOtherVarieties, Tinto Cão]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tinto Cão
Context triple: [Tinta Barroca, usedWithOtherVarieties, Tinto Cão]
  • A. Tinto Cão chosen
    Tinto Cão is a traditional Portuguese red wine grape variety, prized in the Douro region for producing deeply colored, aromatic wines with good acidity and aging potential.
  • B. Cachorro Louco
    Cachorro Louco is the ferocious fighting persona of Brazilian mixed martial artist Wanderlei Silva, known for his aggressive, relentless style in PRIDE and the UFC.
  • C. Covões e Camarneira
    Covões e Camarneira is a civil parish in the municipality of Cantanhede, located in Portugal’s Coimbra District.
  • D. Vale do Lobo
    Vale do Lobo is a luxury seaside resort area in Portugal’s Algarve region, known for its golf courses, beaches, and upscale holiday properties.
  • E. Gafanha da Boa Hora
    Gafanha da Boa Hora is a civil parish in the municipality of Vagos, located in the Aveiro District of Portugal.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3576cceb881908579b56d91b15dec completed April 18, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0075925b18819084c6d476eceea5f5 completed May 10, 2026, 12:09 p.m.
Created at: April 10, 2026, 5:15 a.m.