Triple
T20580512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Prize for Literature (Venezuela) |
E505638
|
entity |
| Predicate | typicalAwardBasis |
P140646
|
FINISHED |
| Object | career-long production rather than a single work |
—
|
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: career-long production rather than a single work | Statement: [National Prize for Literature (Venezuela), typicalAwardBasis, career-long production rather than a single work]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAwardBasis Context triple: [National Prize for Literature (Venezuela), typicalAwardBasis, career-long production rather than a single work]
-
A.
typicalAwardedBy
Indicates the usual or standard agent (such as a person or organization) that confers or grants a particular award.
-
B.
typicalAwardType
Indicates the usual or most common type or category of award associated with a given entity or context.
-
C.
typicalAwardComponents
Indicates the standard elements or parts that commonly make up a particular award.
-
D.
typicalAwardAmount
Indicates the usual or most common amount of an award given in this relationship.
-
E.
typicalQualificationAwarded
Indicates the qualification that is most commonly or normally awarded as a result of completing a given program, course, or activity.
- 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_69e0b4b9669c8190b8e81fc72817d42c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a90e98a88190b5cb077973f97e68 |
completed | April 20, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69e59fffe1748190825e4eaa90340631 |
completed | April 20, 2026, 3:39 a.m. |
| PDg | Predicate description generation | batch_69e5a6a824748190bbe6192d73f3c613 |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:39 a.m.