Triple
T18110830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juddmonte International Stakes |
E433468
|
entity |
| Predicate | sponsorshipBegan |
P6314
|
FINISHED |
| Object | 1989 |
—
|
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: 1989 | Statement: [Juddmonte International Stakes, sponsorshipBegan, 1989]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sponsorshipBegan Context triple: [Juddmonte International Stakes, sponsorshipBegan, 1989]
-
A.
sponsorshipDealStart
chosen
Indicates the point in time when a sponsorship agreement between parties officially begins.
-
B.
sponsorshipRenamedFrom
Indicates that a sponsorship currently known by one name previously existed under a different, earlier name.
-
C.
sponsorshipEndedWith
Indicates that a previously existing sponsorship relationship between entities has come to an end.
-
D.
sponsorshipEnded
Indicates that a previously existing sponsorship relationship between entities has been terminated or has come to an end.
-
E.
sponsorEnded
Indicates that a sponsorship relationship between entities has been terminated or has come to an end.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd2038081909515fb6d17495cbf |
completed | April 19, 2026, 1:51 p.m. |
| PD | Predicate disambiguation | batch_69e43313ca788190baa224269e71de49 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:28 a.m.