Triple
T2446095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCAA Division I Outdoor Track and Field Championships |
E53596
|
entity |
| Predicate | multiEventsIncluded |
P38530
|
FINISHED |
| Object | decathlon |
—
|
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: decathlon | Statement: [NCAA Division I Outdoor Track and Field Championships, multiEventsIncluded, decathlon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: multiEventsIncluded Context triple: [NCAA Division I Outdoor Track and Field Championships, multiEventsIncluded, decathlon]
-
A.
hasEventDetail
Indicates that an event is associated with additional descriptive information or specific attributes that further characterize it.
-
B.
hasEventSeries
Indicates that an entity is associated with, or participates in, a sequence of related events forming a series.
-
C.
coversEvent
Indicates that one event includes, spans, or encompasses the time period or occurrence of another event.
-
D.
alsoHostedEventType
Indicates that the same host was responsible for organizing or holding another event of a specified type.
-
E.
meetsDuring
Indicates that one entity encounters or comes together with another while a specified event or time interval is in progress.
- 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_69ab495d227c8190b26ae6548eeb1019 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abcabf477081908512df63ac1a6414 |
completed | March 7, 2026, 6:50 a.m. |
| PD | Predicate disambiguation | batch_69abc5ad8e588190b97c4cd7cf575043 |
completed | March 7, 2026, 6:29 a.m. |
| PDg | Predicate description generation | batch_69abcabe646c8190855d13b5dff07b97 |
completed | March 7, 2026, 6:50 a.m. |
Created at: March 6, 2026, 9:43 p.m.