Triple
T17989762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Principality of Asturias |
E430336
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Llanes |
—
|
NE NERFINISHED |
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: Llanes | Statement: [Principality of Asturias, contains, Llanes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Llanes Context triple: [Principality of Asturias, contains, Llanes]
-
A.
Llanes
chosen
Llanes is a coastal town and municipality in northern Spain known for its historic old quarter, fishing port, and scenic beaches along the Cantabrian Sea.
-
B.
Oña
Oña is a small town in southern Ecuador known for its rural Andean setting and role as a local administrative and agricultural center within Azuay Province.
-
C.
Nalón
The Nalón is a major river in Asturias, northern Spain, known for flowing through mountainous landscapes and historically supporting regional industry and mining.
-
D.
La Bañeza
La Bañeza is a small historic city in northwestern Spain known for its cultural festivals and traditional architecture.
-
E.
Mieres
Mieres is a town in the Asturias region of northern Spain known for its industrial and mining heritage and as a local educational hub.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b29e47a88190be58b79c73d3e652 |
completed | April 19, 2026, 10:46 a.m. |
Created at: April 10, 2026, 10:23 a.m.