Triple
T34866330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cubadisco Award |
E1005021
|
entity |
| Predicate | mainlyAwardedIn |
P2729
|
FINISHED |
| Object | Cuba |
—
|
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: Cuba | Statement: [Cubadisco Award, mainlyAwardedIn, Cuba]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainlyAwardedIn Context triple: [Cubadisco Award, mainlyAwardedIn, Cuba]
-
A.
mainlyObservedIn
Indicates that something occurs, appears, or is found predominantly within a particular context, location, group, or condition.
-
B.
isMajorAwardIn
Indicates that an award is considered a major or highly significant award within a specified context, such as a field, event, or organization.
-
C.
isAwardedIn
Indicates that an award or honor is given or conferred within a specific event, context, or time frame.
-
D.
regionOfAward
Indicates the geographic or administrative region in which an award is given or recognized.
-
E.
countryOfAwarding
chosen
Indicates the country that officially granted or conferred a particular award, honor, or recognition.
- 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_69f76dbb678081909a247b9b5e1a73ac |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78710282c81909146dc0be91e983f |
completed | May 3, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f784162134819098413482ef52042f |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4 p.m.