Triple
T36346873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States national golf team |
E895087
|
entity |
| Predicate | firstPresidentsCupAppearance |
P152382
|
FINISHED |
| Object | 1994 |
—
|
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: 1994 | Statement: [United States national golf team, firstPresidentsCupAppearance, 1994]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPresidentsCupAppearance Context triple: [United States national golf team, firstPresidentsCupAppearance, 1994]
-
A.
PresidentsCupAppearance
chosen
Indicates that an entity has participated in or made an appearance at the Presidents Cup golf competition.
-
B.
hasWonPresident’sCup
Indicates that an entity has achieved victory in a competition or league and been awarded the President’s Cup.
-
C.
isFirstSuperBowlAppearanceFor
Indicates that an entity represents a team's or player's first-ever appearance in a Super Bowl game.
-
D.
isFirstOpenCupTitleFor
Indicates that a particular cup victory is the first open-era cup title achieved by the specified entity.
-
E.
isFirstMLSChampionshipFor
Indicates that the referenced MLS Cup title is the first championship ever won by the specified team.
- 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.