Triple
T31151676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Four Continents Figure Skating Championships |
E794090
|
entity |
| Predicate | hasProgramSegment |
P149965
|
FINISHED |
| Object | short program |
—
|
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: short program | Statement: [Four Continents Figure Skating Championships, hasProgramSegment, short program]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProgramSegment Context triple: [Four Continents Figure Skating Championships, hasProgramSegment, short program]
-
A.
hasShortProgramSegment
chosen
Indicates that an entity includes or is associated with a brief, self-contained segment of a larger program.
-
B.
hasProgramCode
Indicates that an entity is associated with a specific program identifier or code used to reference or classify it within a system.
-
C.
hasProgramElement
Indicates that one entity contains, includes, or is associated with a specific program element (such as a function, class, module, or code component).
-
D.
hasAssemblySegment
Indicates that an object or system includes a specific segment as part of its overall assembly structure.
-
E.
hasComponentProgram
Indicates that one program includes or is composed of another program as a component or sub-program.
- 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_69f224d41bb48190a5621cd1485e3a30 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a00474f08908190bc8ae3b320ec887b |
completed | May 10, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_6a0045dc3bd48190a9e0520f3ef3f067 |
completed | May 10, 2026, 8:46 a.m. |
Created at: April 29, 2026, 9:06 p.m.