Triple
T28549638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1997 Skate America |
E722844
|
entity |
| Predicate | shortProgramRequiredElement |
P164873
|
FINISHED |
| Object | combination jump |
—
|
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: combination jump | Statement: [1997 Skate America, shortProgramRequiredElement, combination jump]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shortProgramRequiredElement Context triple: [1997 Skate America, shortProgramRequiredElement, combination jump]
-
A.
shortProgramRequired
Indicates that a brief or condensed version of a program is required for the associated entity or context.
-
B.
typicalProgramElement
Indicates that one program element is a representative or characteristic example of another program element or category of elements.
-
C.
intendedProgram
Indicates the academic or training program that an entity plans or expects to pursue, rather than one they are currently enrolled in or have completed.
-
D.
requiredDesignElement
Indicates that one entity must include, use, or incorporate another entity as a necessary design component or feature.
-
E.
hasShortProgramSegment
Indicates that an entity includes or is associated with a brief, self-contained segment of a larger program.
- 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_69f01a60204481909af1bb76247b8221 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651aad92c8190b874b3b5f9f64434 |
completed | May 2, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69f652a3a8208190a4fdd66f34138bd2 |
completed | May 2, 2026, 7:38 p.m. |
Created at: April 28, 2026, 3:42 a.m.