Triple
T24408458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Premio FIL de Literatura en Lenguas Romances |
E615376
|
entity |
| Predicate | prestigio |
P155821
|
FINISHED |
| Object | uno de los premios literarios más importantes en lengua española |
—
|
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: uno de los premios literarios más importantes en lengua española | Statement: [Premio FIL de Literatura en Lenguas Romances, prestigio, uno de los premios literarios más importantes en lengua española]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prestigio Context triple: [Premio FIL de Literatura en Lenguas Romances, prestigio, uno de los premios literarios más importantes en lengua española]
-
A.
prestigeVarietyOf
Indicates that one variety (such as a dialect, style, or form) is regarded as more socially prestigious or high-status compared to another variety.
-
B.
premiumBrand
Indicates that one entity is recognized or classified as a high-end, premium-quality brand relative to others.
-
C.
PSE
Indicates a relationship where one entity is engaged in or associated with a public service or public sector employment role relative to another entity or context.
-
D.
preinstalledOn
Indicates that a software or component comes already installed and ready to use on a particular device or system before the user receives it.
-
E.
pretext
Indicates that one party uses a stated reason or excuse to conceal their true motive for an action or decision.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69f2915233c48190a181c8c1924e892c |
completed | April 29, 2026, 11:16 p.m. |
Created at: April 18, 2026, 2:05 a.m.