Triple
T23914374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ironman World Championship course section |
E602039
|
entity |
| Predicate | athleteActivity |
P8834
|
FINISHED |
| Object | running |
—
|
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: running | Statement: [Ironman World Championship course section, athleteActivity, running]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: athleteActivity Context triple: [Ironman World Championship course section, athleteActivity, running]
-
A.
sportsInvolvement
Indicates the nature or extent of an entity’s participation in, association with, or role within a sport or sporting activity.
-
B.
activityType
chosen
Indicates the specific kind or category of action or event that an entity is engaged in or associated with.
-
C.
multiSport
Indicates that an entity participates in, is associated with, or is designed for more than one sport.
-
D.
performsAtSport
Indicates that an entity carries out or participates in an activity at a particular sport or sporting context.
-
E.
activityLocation
Indicates the place or setting where an activity occurs or is carried out.
- 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_69e2953a187081908346a9f36e85fc98 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1ce97f694819087215ed9f18b290e |
completed | April 29, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:39 p.m.