Triple
T9299775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tâmega River |
E223728
|
entity |
| Predicate | flowsThroughCity |
P10456
|
FINISHED |
| Object | Celorico de Basto |
E720362
|
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: Celorico de Basto | Statement: [Tâmega River, flowsThroughCity, Celorico de Basto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Celorico de Basto Context triple: [Tâmega River, flowsThroughCity, Celorico de Basto]
-
A.
Celorico de Basto
chosen
Celorico de Basto is a municipality in northern Portugal known for its scenic landscapes, vineyards, and historic heritage within the Minho region.
-
B.
Cacilhas
Cacilhas is a riverside district in Almada, Portugal, known for its ferry link to Lisbon and its waterfront restaurants and bars.
-
C.
Melgaço
Melgaço is a historic town and municipality in Portugal’s far north, known for its scenic Minho River landscapes, Alvarinho wine, and well-preserved medieval castle.
-
D.
Espinheiro
Espinheiro is a central neighborhood in Recife, Brazil, known for its residential areas, commerce, and urban amenities.
-
E.
Cabeceiras de Basto
Cabeceiras de Basto is a small municipality in northern Portugal known for its rural landscapes, traditional Minho architecture, and cultural heritage.
- 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_69d12cc59610819090adf2b4c3f5cec3 |
completed | April 4, 2026, 3:22 p.m. |
Created at: March 30, 2026, 7:36 p.m.