Triple
T29113877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hannah Cockroft |
E736988
|
entity |
| Predicate | ParalympicEventType |
P8641
|
FINISHED |
| Object | T34 sprint 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: T34 sprint events | Statement: [Hannah Cockroft, ParalympicEventType, T34 sprint events]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ParalympicEventType Context triple: [Hannah Cockroft, ParalympicEventType, T34 sprint events]
-
A.
paralympicCounterpartOf
Indicates that one entity is the corresponding Paralympic version or equivalent of another entity, typically an Olympic event, sport, or competition.
-
B.
olympicEventType
Indicates the specific category or discipline of an event within the Olympic Games.
-
C.
paralympics
chosen
Indicates that an entity is associated with, participates in, or is otherwise involved in the Paralympic Games or Paralympic movement.
-
D.
ParalympicSportHosted
Indicates that a particular Paralympic sport was held or staged as part of a specific edition of the Paralympic Games at a given host location.
-
E.
disabilitySport
Indicates that an activity or competition is a sport specifically designed for or practiced by people with disabilities.
- 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_69f077ed54e08190bb02a744e8121a66 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f66d7765208190b87b1cc6d96a151c |
completed | May 2, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69f66abfdaf08190a55f14c70be6fd4d |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 11:20 a.m.