Triple
T32858499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Green Capital 2012 |
E840443
|
entity |
| Predicate | inceptionOfAwardScheme |
P124
|
FINISHED |
| Object | 2010 |
—
|
LITERAL FINISHED |
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: 2010 | Statement: [European Green Capital 2012, inceptionOfAwardScheme, 2010]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inceptionOfAwardScheme Context triple: [European Green Capital 2012, inceptionOfAwardScheme, 2010]
-
A.
inceptionOfPatronage
Indicates the point in time or event at which a patronage relationship between parties begins.
-
B.
initialAwardYear
Indicates the year in which an entity first received a particular award.
-
C.
firstAwarded
chosen
Indicates the time or occasion when an award, honor, or recognition was given for the very first time.
-
D.
awardingBodyFoundedIn
Indicates the year or date when the awarding body (the organization that grants awards) was established or founded.
-
E.
inceptionOfAwardRecipient
Indicates that an entity marks the beginning or first occurrence of another entity receiving a particular award.
- 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_69f6ceb2b81c81909c1a186305a9d597 |
completed | May 3, 2026, 4:27 a.m. |
| PD | Predicate disambiguation | batch_69f6cc177b288190904f3f23cb856d8b |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:17 a.m.