Triple
T19070356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International World Games Association |
E466773
|
entity |
| Predicate | sportEventFrequency |
P134181
|
FINISHED |
| Object | quadrennial |
—
|
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: quadrennial | Statement: [International World Games Association, sportEventFrequency, quadrennial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sportEventFrequency Context triple: [International World Games Association, sportEventFrequency, quadrennial]
-
A.
gamesFrequency
Indicates how often the related entities engage in playing games together or participate in game-related activities.
-
B.
sportingEventScope
Indicates the scope or context within which a sporting event takes place, such as its level, category, or coverage.
-
C.
sportsCount
Indicates the number of sports associated with or involved in a given entity or context.
-
D.
sportEventType
Indicates the specific kind or category of sport associated with a given sporting event.
-
E.
sportingMovement
Indicates a physical action or motion performed as part of a sport or athletic activity.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e19ea01c8190b9bb789da32f9a90 |
completed | April 20, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69e4b99f602881909eeb9c780597e0e6 |
completed | April 19, 2026, 11:16 a.m. |
| PDg | Predicate description generation | batch_69e4bfe8a06081909fd5c28a33e9f218 |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:04 p.m.