Triple
T24408422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Premio FIL de Literatura en Lenguas Romances |
E615376
|
entity |
| Predicate | nombreOficial |
P2789
|
FINISHED |
| Object | Premio FIL de Literatura en Lenguas Romances |
—
|
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: Premio FIL de Literatura en Lenguas Romances | Statement: [Premio FIL de Literatura en Lenguas Romances, nombreOficial, Premio FIL de Literatura en Lenguas Romances]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nombreOficial Context triple: [Premio FIL de Literatura en Lenguas Romances, nombreOficial, Premio FIL de Literatura en Lenguas Romances]
-
A.
officialName
Indicates the formally recognized name assigned to an entity by an authoritative body or source.
-
B.
officialNameInSpanish
chosen
Indicates the officially recognized name of an entity when expressed in the Spanish language.
-
C.
firstOfficialName
Indicates the original or primary official name formally assigned to an entity before any subsequent name changes or alternatives.
-
D.
hasOfficialNameInPortuguese
Indicates that an entity has an official name expressed in the Portuguese language.
-
E.
officialNameGivenBy
Indicates that an official or formal name has been assigned to an entity by a specific authority or source.
- 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.