Triple
T14758837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Côa River |
E346800
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Pinhel |
E374161
|
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: Pinhel | Statement: [Côa River, nearbySettlement, Pinhel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pinhel Context triple: [Côa River, nearbySettlement, Pinhel]
-
A.
Pinhel
chosen
Pinhel is a historic municipality and city in central Portugal known for its medieval castle and well-preserved old town.
-
B.
Carcavelos
Carcavelos is a coastal town in the Lisbon metropolitan area of Portugal, known for its popular sandy beach and strong surfing conditions along the Estoril coastline.
-
C.
Caldas de Monchique
Caldas de Monchique is a small spa village in Portugal’s Algarve region, renowned for its thermal springs and scenic mountain setting.
-
D.
Monção
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.
-
E.
Peñaranda
Peñaranda is a municipality in the Philippine province of Nueva Ecija, known for its agricultural economy and local cultural traditions.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f0f5a48190af008352c26574d7 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cefb7c08190bf69b15165f046d0 |
completed | May 8, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:30 a.m.