Triple
T24408546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Premio de Literatura Ciudad y Naturaleza José Emilio Pacheco |
E615378
|
entity |
| Predicate | typeOfWorkAwarded |
P1366
|
FINISHED |
| Object | narrativa |
—
|
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: narrativa | Statement: [Premio de Literatura Ciudad y Naturaleza José Emilio Pacheco, typeOfWorkAwarded, narrativa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfWorkAwarded Context triple: [Premio de Literatura Ciudad y Naturaleza José Emilio Pacheco, typeOfWorkAwarded, narrativa]
-
A.
typeOfWork
chosen
Indicates the kind or category of work associated with or performed by an entity.
-
B.
nominatedWorkType
Indicates the type or category of work for which an entity has been nominated.
-
C.
awardType
Indicates the specific category or kind of award associated with an entity or event.
-
D.
awardContributedTo
Indicates that an entity played a role or made a contribution that helped lead to a particular award or recognition being granted.
-
E.
isProfessionalAward
Indicates that the award in question is a formal recognition given within a professional or occupational context.
- 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_69e2d7e780bc81908049c779e697a7f6 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2957fab0481909121c6da6b5e34c0 |
completed | April 29, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f287cc4fd4819081e93cc638d9512d |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:05 a.m.