Triple
T34094698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Premio Nacional de Danza |
E874392
|
entity |
| Predicate | naturalezaDelPremio |
P80420
|
FINISHED |
| Object | reconocimiento oficial |
—
|
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: reconocimiento oficial | Statement: [Premio Nacional de Danza, naturalezaDelPremio, reconocimiento oficial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: naturalezaDelPremio Context triple: [Premio Nacional de Danza, naturalezaDelPremio, reconocimiento oficial]
-
A.
prizeNature
chosen
Indicates that one entity regards another as valuable or worthy and treats it with special appreciation or esteem.
-
B.
prizeType
Indicates the specific category or kind of prize associated with an entity or event.
-
C.
awardType
Indicates the specific category or kind of award associated with an entity or event.
-
D.
isPrizedFor
Indicates that something is highly valued or esteemed because of a particular quality, feature, or benefit it provides.
-
E.
prizeName
Indicates the specific name or title assigned to a prize associated with an entity.
- 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_69f349a735208190a1dbfb1c2a121059 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70c5991108190a09fc0faf6cb49d2 |
completed | May 3, 2026, 8:50 a.m. |
| PD | Predicate disambiguation | batch_69f70ac0170c819098e3b8e41d02efef |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:52 a.m.