Triple
T15903478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trás-os-Montes e Alto Douro |
E385647
|
entity |
| Predicate | majorTown |
P316
|
FINISHED |
| Object | Mirandela |
E789630
|
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: Mirandela | Statement: [Trás-os-Montes e Alto Douro, majorTown, Mirandela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mirandela Context triple: [Trás-os-Montes e Alto Douro, majorTown, Mirandela]
-
A.
Mirandela
chosen
Mirandela is a municipality and city in northeastern Portugal known for its olive oil production and scenic location along the Tua River.
-
B.
O Porriño
O Porriño is a town and municipality in Galicia, northwestern Spain, known for its granite quarries and industrial activity.
-
C.
Camariñas
Camariñas is a coastal town in Galicia, northwestern Spain, known for its traditional handmade bobbin lace and its location on the rugged Costa da Morte.
-
D.
Sabrosa
Sabrosa is a small municipality in Portugal’s Douro region, historically notable as the birthplace of explorer Ferdinand Magellan.
-
E.
Almagreira
Almagreira is a civil parish located within the municipality of Vila do Porto in the Azores, 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1563e79608190a1fdfe6265817616 |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb051a05081908c349cd9a1ff247a |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:52 a.m.