Triple
T9299774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tâmega River |
E223728
|
entity |
| Predicate | flowsThroughCity |
P10456
|
FINISHED |
| Object | Amarante |
E740607
|
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: Amarante | Statement: [Tâmega River, flowsThroughCity, Amarante]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amarante Context triple: [Tâmega River, flowsThroughCity, Amarante]
-
A.
Amarante
chosen
Amarante is a Portuguese wine subregion within Vinho Verde, known for producing fresh, often slightly sparkling white wines as well as some reds and rosés.
-
B.
Amarante
Amarante is a Portuguese surname most notably associated with Brazilian musician and songwriter Rodrigo Amarante.
-
C.
Góis
Góis is a small municipality in central Portugal known for its mountainous landscapes, river beaches, and traditional schist villages.
-
D.
Ansião
Ansião is a municipality in central Portugal known for its rural landscapes, historical churches, and traditional Portuguese architecture.
-
E.
Cantanhede
Cantanhede is a Portuguese municipality in the Centro Region known for its wine production, agricultural activity, and proximity to the Atlantic coast.
- 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_69ca8423edb08190bc0c91287a484768 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd08d070c881908bed41aada6f85ae |
completed | April 1, 2026, noon |
| NED1 | Entity disambiguation (via context triple) | batch_69d100c0af508190bc2a7eaec78cef95 |
completed | April 4, 2026, 12:14 p.m. |
Created at: March 30, 2026, 7:36 p.m.