Triple
T8534960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vinho Verde region |
E202054
|
entity |
| Predicate | subregion |
P747
|
FINISHED |
| Object | Monção e Melgaço |
E716723
|
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: Monção e Melgaço | Statement: [Vinho Verde region, subregion, Monção e Melgaço]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monção e Melgaço Context triple: [Vinho Verde region, subregion, Monção e Melgaço]
-
A.
Monção
chosen
Monção is a historic town and municipality in northern Portugal, known for its fortified medieval center and production of Vinho Verde wines along the Minho River.
-
B.
Lamego
Lamego is a historic city in northern Portugal known for its baroque Sanctuary of Our Lady of Remedies and its location in the Douro wine region.
-
C.
Carrazeda de Ansiães
Carrazeda de Ansiães is a municipality in northeastern Portugal known for its wine production, historical heritage, and location within the Douro wine region.
-
D.
Montemor-o-Velho
Montemor-o-Velho is a historic Portuguese town and municipality in central Portugal, known for its medieval castle overlooking the Mondego River and surrounding agricultural plains.
-
E.
Covilhã
Covilhã is a city in central Portugal, historically known for its textile industry and as a gateway to the Serra da Estrela mountain range.
- 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_69ca832355b08190b8b6a4ab4a4a3554 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6a295c88190a432a060ee73f04e |
completed | March 31, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d8332cc819083c86e0dc58bcc37 |
completed | April 2, 2026, 1:22 p.m. |
Created at: March 30, 2026, 6:17 p.m.