Triple
T19070375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International World Games Association |
E466773
|
entity |
| Predicate | eventDuration |
P40755
|
FINISHED |
| Object | approximately 10 days per World Games edition |
—
|
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: approximately 10 days per World Games edition | Statement: [International World Games Association, eventDuration, approximately 10 days per World Games edition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eventDuration Context triple: [International World Games Association, eventDuration, approximately 10 days per World Games edition]
-
A.
eraDuration
Indicates the length of time that a particular era or period spans.
-
B.
durationPerParticipant
Indicates the amount of time associated with or allocated to each individual participant in the related activity or event.
-
C.
intendedDuration
chosen
Indicates the planned or expected length of time for which an action, event, or state is meant to occur or remain in effect.
-
D.
durationOfFestivalContext
Indicates the length of time for which a festival takes place within a given contextual setting or event instance.
-
E.
lengthInMinutes
Indicates the duration of something expressed as a number of minutes.
- 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_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. |
Created at: April 10, 2026, 12:04 p.m.