Triple
T1065768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paralympic Games |
E23205
|
entity |
| Predicate | hasEventCategories |
P14526
|
FINISHED |
| Object | individual events |
—
|
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: individual events | Statement: [Paralympic Games, hasEventCategories, individual events]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEventCategories Context triple: [Paralympic Games, hasEventCategories, individual events]
-
A.
hasEventType
chosen
Indicates that an event is associated with, or classified under, a specific type or category of event.
-
B.
hasCategoryGroup
Indicates that something is associated with, or belongs to, a broader grouping of related categories.
-
C.
hasCategoryOn
Indicates that something is assigned to or associated with a specific category within a given context or scope.
-
D.
hasEventBrand
Indicates that an event is associated with or organized under a particular brand.
-
E.
hasEventSpace
Indicates that an entity provides or includes a designated space intended for hosting events.
- 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_69a493ee1f908190992b5f0d1b04459b |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b9e1047481909af1cf8df2a01fff |
completed | March 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69a4b736f1e881909bace735b38c0ade |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.