Triple
T32858474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Green Capital 2012 |
E840443
|
entity |
| Predicate | countryOfAwardedCity |
P2729
|
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: [European Green Capital 2012, countryOfAwardedCity, Spain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfAwardedCity Context triple: [European Green Capital 2012, countryOfAwardedCity, Spain]
-
A.
awardingCity
Indicates the city in which an award is formally given or conferred.
-
B.
countryOfAwarding
chosen
Indicates the country that officially granted or conferred a particular award, honor, or recognition.
-
C.
capitalCityOfOriginCountry
Indicates that a city is the capital of the country from which an entity (such as a person, organization, or product) originates.
-
D.
hostCityLocatedOn
Indicates that the city serving as a host (e.g., of an event) is geographically situated on or along a specified physical feature or area (such as a river, coast, or region).
-
E.
continentOfAwardingCountry
Indicates the continent on which the country that granted or issued the award is located.
- 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_6a007338002081908cb6340d65ff86d5 |
completed | May 10, 2026, 11:59 a.m. |
| PD | Predicate disambiguation | batch_6a0072a137ac8190a7debeb28e738e03 |
completed | May 10, 2026, 11:57 a.m. |
Created at: May 1, 2026, 1:17 a.m.