Triple
T21209382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Course at Torrey Pines |
E522678
|
entity |
| Predicate | U.S. OpenYearHosted |
P143559
|
FINISHED |
| Object | 2008 |
—
|
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: 2008 | Statement: [South Course at Torrey Pines, U.S. OpenYearHosted, 2008]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: U.S. OpenYearHosted Context triple: [South Course at Torrey Pines, U.S. OpenYearHosted, 2008]
-
A.
hostedUSNationalChampionshipsUntil
Indicates that an entity served as the host location or organizer of the U.S. National Championships up to and including a specified end time.
-
B.
grandSlamTournamentHosted
Indicates that a particular grand slam tennis tournament is hosted or held at a specific location or by a specific organizing entity.
-
C.
olympicSportHosted
Indicates that a particular Olympic sport was held or staged at a specific Olympic Games or host location.
-
D.
wonUSOpen
Indicates that one entity achieved victory in the US Open competition or tournament over another entity or in a given year.
-
E.
USOpenCupYear
Indicates the specific year in which a given edition of the U.S. Open Cup competition took place.
- 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_69e0b5112d8881909510b2dcdc93106d |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73436eb4c819082e05caf1ba52672 |
completed | April 21, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69e5f6094e3c81909ee9699e00d371f7 |
completed | April 20, 2026, 9:46 a.m. |
| PDg | Predicate description generation | batch_69e5fa92a2448190896c022dd27511ad |
completed | April 20, 2026, 10:06 a.m. |
Created at: April 16, 2026, 3:26 p.m.