Triple
T36346872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States national golf team |
E895087
|
entity |
| Predicate | firstRyderCupAppearance |
P103683
|
FINISHED |
| Object | 1927 |
—
|
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: 1927 | Statement: [United States national golf team, firstRyderCupAppearance, 1927]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstRyderCupAppearance Context triple: [United States national golf team, firstRyderCupAppearance, 1927]
-
A.
ryderCupDebut
chosen
Indicates the event or year in which an entity (typically a golfer) first participated in the Ryder Cup.
-
B.
ryderCupAppearances
Indicates the number of times an entity has participated in the Ryder Cup competition.
-
C.
RyderCupContinentFirst
Indicates that a specified continent was the first to host or be represented in the context of the Ryder Cup.
-
D.
ryderCupCaptainYear
Indicates the year in which a given person served as captain of a Ryder Cup team.
-
E.
RyderCupYearHosted
Indicates the year in which a given Ryder Cup tournament was hosted.
- 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_69f76e4f437c8190a1af3ea2564f41f5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0a54cc8190868c1bfa1590d1a6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:09 p.m.