Triple
T32908133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cabrales cheese |
E841796
|
entity |
| Predicate | agingRegion |
P46089
|
FINISHED |
| Object | Picos de Europa |
—
|
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: Picos de Europa | Statement: [Cabrales cheese, agingRegion, Picos de Europa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: agingRegion Context triple: [Cabrales cheese, agingRegion, Picos de Europa]
-
A.
agingLocation
chosen
Indicates the place where an entity undergoes an aging process or is stored to age over time.
-
B.
occupiedRegion
Indicates that an entity has taken control of and is currently holding a specific geographic area or region.
-
C.
agingCommon
Indicates that the entities share a common or typical pattern, process, or characteristic related to aging.
-
D.
likelyRegion
Indicates that an entity is probably located in, associated with, or originates from a particular geographic region.
-
E.
eligibleRegion
Indicates the geographic area within which something (such as an offer, service, or rule) is valid, applicable, or permitted.
- F. None of above.
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_69f34946a5208190bbd79f0fec4323bd |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe5f93c8190995c53dbbe380a32 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:19 a.m.