Triple
T4386465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belmont Stakes |
E99253
|
entity |
| Predicate | stakesRecordYear |
P37526
|
FINISHED |
| Object | 1973 |
—
|
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: 1973 | Statement: [Belmont Stakes, stakesRecordYear, 1973]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stakesRecordYear Context triple: [Belmont Stakes, stakesRecordYear, 1973]
-
A.
raceYear
chosen
Indicates the specific calendar year in which a particular race event takes place.
-
B.
tradeYear
Indicates the specific calendar year in which a trade or commercial transaction took place or was recorded.
-
C.
yearOfWin
Indicates the specific calendar year in which an entity achieved a particular victory or win.
-
D.
ordinationYear
Indicates the year in which an individual was formally ordained to a religious office or role.
-
E.
seasonRecord
Indicates the overall performance or results an entity achieved over the course of a specific season (e.g., wins, losses, or comparable outcome metrics).
- 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_69b3454f739481909ff6c28331f0c0b9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b352669f608190b3aa7030d8073e04 |
completed | March 12, 2026, 11:55 p.m. |
| PD | Predicate disambiguation | batch_69b34f572efc8190bad1e5078cbcb75a |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:19 p.m.