Triple
T28595277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basque Wikipedia |
E723754
|
entity |
| Predicate | countryPrimaryUsage |
P135380
|
FINISHED |
| Object | Spain |
—
|
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: Spain | Statement: [Basque Wikipedia, countryPrimaryUsage, Spain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryPrimaryUsage Context triple: [Basque Wikipedia, countryPrimaryUsage, Spain]
-
A.
primaryUseCountry
chosen
Indicates the country in which something is primarily used or most commonly utilized.
-
B.
regionPrimaryUse
Indicates the main functional purpose or dominant activity for which a region is used.
-
C.
countryNameUsage
Indicates how a country’s name is used or applied in a particular context or representation.
-
D.
usedByCountryCode
Indicates that something is utilized or applied within the country identified by the given country code.
-
E.
countryOrRegionUsed
Indicates that something is used within, or applies to, a specific country or geographic region.
- 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_69f01d80b1908190980594837604b8c7 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fe72dca2f08190beff17de3d2aada6 |
completed | May 8, 2026, 11:33 p.m. |
| PD | Predicate disambiguation | batch_69fe70bca8d08190b810e1e616ceac44 |
completed | May 8, 2026, 11:24 p.m. |
Created at: April 28, 2026, 4:21 a.m.