Triple
T16589862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Touriga Franca |
E403054
|
entity |
| Predicate | blendingPartner |
P103849
|
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: [Touriga Franca, blendingPartner, Tinto Cão]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tinto Cão Context triple: [Touriga Franca, blendingPartner, 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3599f3d18819082b3e6eef5506731 |
completed | April 18, 2026, 10:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007da6d6f08190a8524b1c955b7c2e |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:16 a.m.