Triple
T24558142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1992 Open Championship |
E607577
|
entity |
| Predicate | winnerMajorTitleCountAfterEvent |
P8059
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [1992 Open Championship, winnerMajorTitleCountAfterEvent, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winnerMajorTitleCountAfterEvent Context triple: [1992 Open Championship, winnerMajorTitleCountAfterEvent, 5]
-
A.
winnerTitleCount
Indicates the number of titles or championships an entity has won.
-
B.
majorTitleWon
Indicates that an entity has won a significant or top-level title, championship, or major award in a given domain.
-
C.
majorChampionshipWins
chosen
Indicates the number of major championship titles an entity has won.
-
D.
numberOfChampionTitles
Indicates the total count of championship titles that an entity has won.
-
E.
continentalTitleWon
Indicates that an entity has won a championship or title at the continental (inter-continental or confederation-level) competition.
- 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_69e2c4cae1b88190825e88d5ce8aa61e |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a8f3fa5481909af50dca4156a22f |
completed | April 30, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b99e7c8190ba7e2dc8729a314a |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:27 a.m.