Triple
T32858496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Green Capital 2012 |
E840443
|
entity |
| Predicate | awardedCityRegion |
P146981
|
FINISHED |
| Object | Basque Country |
—
|
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: Basque Country | Statement: [European Green Capital 2012, awardedCityRegion, Basque Country]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardedCityRegion Context triple: [European Green Capital 2012, awardedCityRegion, Basque Country]
-
A.
regionOfAward
chosen
Indicates the geographic or administrative region in which an award is given or recognized.
-
B.
hostCityRegion
Indicates the city or broader region that serves as the host location for a specified event or entity.
-
C.
awardingCity
Indicates the city in which an award is formally given or conferred.
-
D.
regionOfTheReferredCity
Indicates that one entity is the geographic or administrative region in which the referenced city is located.
-
E.
homeCityRegion
Indicates the city or broader regional area that serves as an entity’s primary place of residence or origin.
- 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_69f34942465c819099b3fb47f9044f58 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 1, 2026, 1:17 a.m.