Triple
T13872752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wu Dajing |
E333494
|
entity |
| Predicate | teamEventParticipation |
P33356
|
FINISHED |
| Object | short track speed skating relay 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: short track speed skating relay events | Statement: [Wu Dajing, teamEventParticipation, short track speed skating relay events]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamEventParticipation Context triple: [Wu Dajing, teamEventParticipation, short track speed skating relay events]
-
A.
teamParticipated
Indicates that a team took part in or was involved in a particular event, activity, or competition.
-
B.
teamParticipatedIn
Indicates that a team took part in or was involved in a particular event, activity, or competition.
-
C.
leagueParticipations
Indicates participation relationships where an entity takes part in one or more leagues or league seasons.
-
D.
teamDuringEvent
Indicates that a particular team is associated with, participates in, or is active during a specified event.
-
E.
eventParticipant
chosen
Indicates that an entity takes part in, is involved in, or participates in a particular event.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a101488190bd790b28033d38b9 |
completed | April 14, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69de05972f3881909977b4c843984f88 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:14 p.m.