Triple
T27039847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Slam in table tennis (Olympic Games, World Championships, World Cup) |
E684456
|
entity |
| Predicate | minimumNumberOfTitles |
P163087
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Grand Slam in table tennis (Olympic Games, World Championships, World Cup), minimumNumberOfTitles, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumNumberOfTitles Context triple: [Grand Slam in table tennis (Olympic Games, World Championships, World Cup), minimumNumberOfTitles, 3]
-
A.
titleCount
Indicates the number of distinct titles associated with an entity within a given context.
-
B.
minimumNumberOfGames
Indicates the smallest required count of games that must be played or satisfied in a given context or constraint.
-
C.
minimumTerm
Indicates the shortest or least duration, period, or term that must apply within a given relationship or agreement.
-
D.
minimumTrackCount
Indicates the smallest number of tracks that must be present or satisfied in a given context or configuration.
-
E.
minimumPointsForWinner
Indicates the minimum number of points that an entity must achieve in order to be considered the winner in a given context or competition.
- 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_69ef148193c48190bb1a0cfae6a407c4 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f63639a84c81909d700a539b458b42 |
completed | May 2, 2026, 5:36 p.m. |
| PD | Predicate disambiguation | batch_69f631850ae08190a0ba51e4f1e4ccb3 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6352df6148190bc10772cd40bd7b3 |
completed | May 2, 2026, 5:32 p.m. |
Created at: April 27, 2026, 8:04 a.m.