Triple
T6850399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Happy Slam |
E157999
|
entity |
| Predicate | associatedWithEventCategory |
P38977
|
FINISHED |
| Object | major international sports event |
—
|
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: major international sports event | Statement: [The Happy Slam, associatedWithEventCategory, major international sports event]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithEventCategory Context triple: [The Happy Slam, associatedWithEventCategory, major international sports event]
-
A.
associatedEventType
chosen
Indicates that one entity is linked to another by the type or category of event with which it is associated.
-
B.
associatedWithCorporateEvent
Indicates that an entity has a connection or involvement with a specific corporate event.
-
C.
attributesEventTo
Indicates assigning responsibility, origin, or cause of an event to a particular entity.
-
D.
isLinkedToEvent
Indicates that an entity has an association or connection with a specific event.
-
E.
associatedStationCategory
Indicates that one entity is linked to, or classified under, a particular category of station.
- 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_69c6882fae988190864cbba788c5ebb4 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d84c45708190918adfc028252400 |
completed | March 27, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69c6d0a12834819097d7e6c0b823745e |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:20 p.m.