Triple
T24408451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Premio FIL de Literatura en Lenguas Romances |
E615376
|
entity |
| Predicate | categoría |
P87
|
FINISHED |
| Object | premio a la trayectoria |
—
|
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: premio a la trayectoria | Statement: [Premio FIL de Literatura en Lenguas Romances, categoría, premio a la trayectoria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: categoría Context triple: [Premio FIL de Literatura en Lenguas Romances, categoría, premio a la trayectoria]
-
A.
category
chosen
Indicates that one entity is classified as a member or type within the grouping or class defined by another entity.
-
B.
textCategory
Indicates that a piece of text belongs to or is classified under a particular category or type.
-
C.
canonicalCategory
Indicates that an entity is assigned to its primary or standard category within a classification system.
-
D.
coreCategory
Indicates that one entity is the primary or fundamental category to which another entity belongs or is classified under.
-
E.
categoryLabel_N
Indicates that an entity is assigned a specific categorical label or classification name.
- 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.