Triple
T23465874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PGA Professional Championship |
E569100
|
entity |
| Predicate | numberOfPGAChampionshipSpots |
P152383
|
FINISHED |
| Object | 20 |
—
|
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: 20 | Statement: [PGA Professional Championship, numberOfPGAChampionshipSpots, 20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPGAChampionshipSpots Context triple: [PGA Professional Championship, numberOfPGAChampionshipSpots, 20]
-
A.
numberOfPlayersEarningPgaTourCardsPerSeason
Indicates the count of players who obtain PGA Tour cards in a given season.
-
B.
wonPGAChampionship
Indicates that one entity has won the PGA Championship golf tournament.
-
C.
PGAChampionsTourWins
Indicates the number of tournament victories a golfer has achieved on the PGA Champions Tour.
-
D.
totalPgaTourWins
Indicates the total number of PGA Tour event victories achieved by a given golfer.
-
E.
numberOfGolfCourses
Indicates the total count of golf courses associated with a given entity.
- 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a6faaf8c8190b4fd191c54e1acea |
completed | April 29, 2026, 6:36 a.m. |
| PD | Predicate disambiguation | batch_69f06201d33481909b5fd7b92d03e658 |
completed | April 28, 2026, 7:30 a.m. |
| PDg | Predicate description generation | batch_69f07cbbd7488190ab3c8ae7d0fb68bf |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 17, 2026, 5:54 p.m.