Triple
T23038469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moortown Golf Club |
E573672
|
entity |
| Predicate | RyderCupVenueOrderInGreatBritain |
P150747
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Moortown Golf Club, RyderCupVenueOrderInGreatBritain, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RyderCupVenueOrderInGreatBritain Context triple: [Moortown Golf Club, RyderCupVenueOrderInGreatBritain, 1]
-
A.
ryderCupCaptaincyLocation
Indicates the location where a particular Ryder Cup team captaincy is held or based.
-
B.
RyderCupFormat
Indicates the competitive structure, rules, and match-play arrangement used in the Ryder Cup golf event.
-
C.
ryderCupAppearances
Indicates the number of times an entity has participated in the Ryder Cup competition.
-
D.
ryderCupCaptaincyCountry
Indicates the country that a person represents or captains in the Ryder Cup golf competition.
-
E.
RyderCupOpponent
Indicates that two entities are opposing teams or competitors facing each other in a Ryder Cup golf match or event.
- 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_69e245b911188190bc3d96326c847969 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f185111f0881908991fcd6cdc7db9f |
completed | April 29, 2026, 4:12 a.m. |
| PD | Predicate disambiguation | batch_69ef3ba004a48190885aece88efd1f52 |
completed | April 27, 2026, 10:34 a.m. |
| PDg | Predicate description generation | batch_69ef538b29c081908fa56ee35a1dcee7 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:53 p.m.