Triple
T18271137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Team USA |
E437616
|
entity |
| Predicate | RyderCupFrequency |
P131118
|
FINISHED |
| Object | biennial |
—
|
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: biennial | Statement: [Team USA, RyderCupFrequency, biennial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RyderCupFrequency Context triple: [Team USA, RyderCupFrequency, biennial]
-
A.
ryderCupAppearances
Indicates the number of times an entity has participated in the Ryder Cup competition.
-
B.
worldChampionshipFrequency
Indicates how often a world championship event is held or occurs over a given period.
-
C.
ryderCupDebut
Indicates the event or year in which an entity (typically a golfer) first participated in the Ryder Cup.
-
D.
worldCupParticipationFrequency
Indicates how often an entity participates in World Cup tournaments over a given period or across its history.
-
E.
RyderCupRole
Indicates that an entity holds a specific role or position in relation to the Ryder Cup 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ff7e00548190a28916a696831336 |
completed | April 19, 2026, 4:14 p.m. |
| PD | Predicate disambiguation | batch_69e44fd81c788190b08c6be3b07a08c5 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a0ba208190a5fe92832a8f7a49 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:34 a.m.