Triple
T913167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayou Bucket Classic |
E19709
|
entity |
| Predicate | trophyIntroducedYear |
P5934
|
FINISHED |
| Object | 1974 |
—
|
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: 1974 | Statement: [Bayou Bucket Classic, trophyIntroducedYear, 1974]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trophyIntroducedYear Context triple: [Bayou Bucket Classic, trophyIntroducedYear, 1974]
-
A.
trophyOfficialName
Indicates the official, formally recognized name assigned to a particular trophy.
-
B.
trophy
Indicates that one entity is a trophy awarded or possessed in relation to another entity, typically as a result of winning or achieving something.
-
C.
designationYear
chosen
Indicates the year in which something was formally designated, assigned, or given an official status.
-
D.
trophyDesigner
Indicates that one entity is the designer or creator of a particular trophy associated with another entity.
-
E.
hallOfFameEligibilityYear
Indicates the specific year in which an entity becomes eligible for induction into a hall of fame.
- 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_69a4939f91a08190ba68c2c81eab90fe |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2f605bc8190a5245aa2ca55cf43 |
completed | March 1, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69a4b2918ea881908698020b995a8eae |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:39 p.m.