Triple
T31291012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Dublin Golf Club |
E797940
|
entity |
| Predicate | hasFairwaysType |
P44260
|
FINISHED |
| Object | fescue |
—
|
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: fescue | Statement: [Royal Dublin Golf Club, hasFairwaysType, fescue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFairwaysType Context triple: [Royal Dublin Golf Club, hasFairwaysType, fescue]
-
A.
fairwayType
Indicates the specific kind or classification of a fairway associated with an entity.
-
B.
fairwayGrassType
chosen
Indicates the type or variety of grass used on a golf course fairway.
-
C.
fairwayWidthReputation
Indicates how widely a fairway is regarded as narrow or wide based on players’ or observers’ perceptions.
-
D.
hasInnerTurfCourse
Indicates that something (typically a race track or stadium) possesses an inner turf course located within its main track or field.
-
E.
hasGolfFormat
Indicates that one entity is associated with, or characterized by, a particular golf competition or play format.
- 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_69f224dfde288190af313f3c221c857e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fcc7338120819081cb46547d60f2cb |
completed | May 7, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69fcc58566a0819082d5ea36e03bf0c6 |
completed | May 7, 2026, 5:01 p.m. |
Created at: April 29, 2026, 9:14 p.m.