Triple
T3049313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FEI show jumping events |
E83528
|
entity |
| Predicate | useScoringSystem |
P13495
|
FINISHED |
| Object | faults and time penalties |
—
|
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: faults and time penalties | Statement: [FEI show jumping events, useScoringSystem, faults and time penalties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: useScoringSystem Context triple: [FEI show jumping events, useScoringSystem, faults and time penalties]
-
A.
scoring
Indicates the act of achieving points or a measurable result, typically by successfully completing an action that contributes to a score or outcome.
-
B.
isScoreFor
Indicates that one value represents the score or result associated with a particular entity, event, or performance.
-
C.
usesCompetitionSystem
chosen
Indicates that an entity operates under or applies a particular competition system or format.
-
D.
scoreUsedFor
Indicates that a particular score or rating is used for a specific purpose, decision, or downstream process.
-
E.
scoreScale
Indicates the scale or range on which a score or rating is expressed or measured.
- 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_69ad8b24924c8190a9bb6f61d519e4ae |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9bb00a348190877c9cbf0f13cba4 |
completed | March 8, 2026, 3:54 p.m. |
| PD | Predicate disambiguation | batch_69ad962195388190856013a2519c2b0f |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:01 p.m.