Triple
T16404340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Table Tennis Championships |
E398385
|
entity |
| Predicate | teamEventsSeparatedSince |
P123294
|
FINISHED |
| Object | 2003 |
—
|
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: 2003 | Statement: [World Table Tennis Championships, teamEventsSeparatedSince, 2003]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamEventsSeparatedSince Context triple: [World Table Tennis Championships, teamEventsSeparatedSince, 2003]
-
A.
teamsParticipated
Indicates that the referenced teams took part in a particular event, activity, or competition.
-
B.
cohostedSportingEvents
Indicates that two or more entities jointly organized or hosted one or more sporting events together.
-
C.
hasCoSanctionedEventsWith
Indicates that two entities have jointly sanctioned or approved the same events.
-
D.
mainEventsAttended
Indicates that an entity has attended one or more primary or major events associated with another entity.
-
E.
meetsSince
Indicates that two entities have been meeting with each other starting from a specific point in time and continuing thereafter.
- F. None of above. chosen
Provenance (4 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e327d1f16481909adb19dab86dcc72 |
completed | April 18, 2026, 6:42 a.m. |
| PD | Predicate disambiguation | batch_69e226fe1dd08190865c181721f8c348 |
completed | April 17, 2026, 12:26 p.m. |
| PDg | Predicate description generation | batch_69e24555bb6c8190977cf5c5f9149056 |
completed | April 17, 2026, 2:36 p.m. |
Created at: April 10, 2026, 5:09 a.m.