Triple
T5650952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medinah Country Club |
E124505
|
entity |
| Predicate | hostedUSOpenYear |
P16171
|
FINISHED |
| Object | 1949 |
—
|
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: 1949 | Statement: [Medinah Country Club, hostedUSOpenYear, 1949]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostedUSOpenYear Context triple: [Medinah Country Club, hostedUSOpenYear, 1949]
-
A.
numberOfUSOpenChampionshipsWon
Indicates the count of US Open Championship titles that an entity has won.
-
B.
USOpenCupYear
Indicates the specific year in which a given edition of the U.S. Open Cup competition took place.
-
C.
hostedEventYear
chosen
Indicates the specific year in which an entity hosted a particular event.
-
D.
grandSlamTournamentHosted
Indicates that a particular grand slam tennis tournament is hosted or held at a specific location or by a specific organizing entity.
-
E.
grandSlamBestResultUSOpen
Indicates the best performance or highest round an entity has achieved specifically at the US Open tennis Grand Slam tournament.
- 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_69c00825df388190a58742fa9b1aa33d |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022d4ca788190b20168b20cb1d030 |
completed | March 22, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69c01b2274b48190b2ef57ed728f785c |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:42 p.m.