Triple
T15016452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asturian mining basin |
E377970
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Mieres |
E1069143
|
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: Mieres | Statement: [Asturian mining basin, containsSettlement, Mieres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mieres Context triple: [Asturian mining basin, containsSettlement, Mieres]
-
A.
Mieres
chosen
Mieres is a town in the Asturias region of northern Spain known for its industrial and mining heritage and as a local educational hub.
-
B.
Segorbe
Segorbe is a historic town in eastern Spain known for its medieval architecture and traditional festivals, located in the Valencian Community.
-
C.
Brunete
Brunete is a town in the Community of Madrid, Spain, historically notable as a major battleground of the Spanish Civil War.
-
D.
Sarria
Sarria is a historic town in the province of Lugo, Galicia, Spain, known today as a major starting point on the Camino de Santiago pilgrimage route.
-
E.
La Bañeza
La Bañeza is a small historic city in northwestern Spain known for its cultural festivals and traditional architecture.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7633fcc8190b2231f43252bc46f |
completed | April 15, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe96ae110c8190a0555590b9ddb36a |
completed | May 9, 2026, 2:06 a.m. |
Created at: April 10, 2026, 2:55 a.m.