Triple
T3145193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIS Ski Jumping World Cup events |
E65745
|
entity |
| Predicate | attract |
P1347
|
FINISHED |
| Object | global audience |
—
|
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: global audience | Statement: [FIS Ski Jumping World Cup events, attract, global audience]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attract Context triple: [FIS Ski Jumping World Cup events, attract, global audience]
-
A.
attracts
chosen
Indicates that one entity exerts a force or influence that draws another entity toward it.
-
B.
traction
Indicates the degree to which one entity’s movement or influence effectively grips, pulls, or gains momentum relative to another entity or medium.
-
C.
attractionBasedOn
Indicates a relationship where one entity is drawn to or interested in another specifically because of certain attributes, qualities, or characteristics that the latter possesses.
-
D.
attractsParticipantsFrom
Indicates that an event, activity, or organization draws or recruits participants originating from a specified place, group, or source.
-
E.
absorbed
Indicates that one entity takes in, soaks up, or assimilates another entity or substance.
- 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada59797788190a8d71262888c5df0 |
completed | March 8, 2026, 4:36 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfa3d9081908425aa636bb9b897 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:05 p.m.