Triple
T22915426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fujisankei Classic |
E568721
|
entity |
| Predicate | hasOfficialWorldGolfRankingPoints |
P34472
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Fujisankei Classic, hasOfficialWorldGolfRankingPoints, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOfficialWorldGolfRankingPoints Context triple: [Fujisankei Classic, hasOfficialWorldGolfRankingPoints, yes]
-
A.
hasWorldRankingPoints
chosen
Indicates that an entity possesses a certain number of points in a global or international ranking system.
-
B.
hasOfficialRankingSystem
Indicates that there exists a formally recognized and structured system for ranking or ordering entities according to defined criteria.
-
C.
hasOfficialRankingWeight
Indicates that something carries an officially recognized weight or importance in determining a ranking or ordered list.
-
D.
worldNumberOneRankingAchieved
Indicates that an entity has attained the top position in a recognized world ranking within a specific field or domain.
-
E.
majorChampionshipSince
Indicates that an entity has won at least one major championship title starting from a specified time or year.
- 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18079217481908db98882929ac69a |
completed | April 29, 2026, 3:52 a.m. |
| PD | Predicate disambiguation | batch_69ef3b7c5fc081909ac50c5c8569cc19 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:42 p.m.