Triple
T2504285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Happy Games |
E52540
|
entity |
| Predicate | associatedWithEventType |
P38977
|
FINISHED |
| Object | multi-sport 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: multi-sport event | Statement: [The Happy Games, associatedWithEventType, multi-sport event]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithEventType Context triple: [The Happy Games, associatedWithEventType, multi-sport 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.
hasEventType
Indicates that an event is associated with, or classified under, a specific type or category of event.
-
C.
associatedWithCondition
Indicates that an entity has a relevant connection or linkage to a particular condition (such as a disease, state, or circumstance), without specifying the nature or strength of that connection.
-
D.
attributesEventTo
Indicates assigning responsibility, origin, or cause of an event to a particular entity.
-
E.
associatedWithEpisodeType
Indicates that something has a connection or linkage to a particular type or category of episode.
- 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_69ab4957b3a88190adf968ae0c1b931c |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1cd2db0819087d21ec49ffd9585 |
completed | March 7, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69abd0bba5348190bb4637d3165cb339 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:46 p.m.