Triple
T18110615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1000 Guineas Stakes |
E433462
|
entity |
| Predicate | originalPrizeMoney |
P72606
|
FINISHED |
| Object | 1000 guineas |
—
|
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: 1000 guineas | Statement: [1000 Guineas Stakes, originalPrizeMoney, 1000 guineas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalPrizeMoney Context triple: [1000 Guineas Stakes, originalPrizeMoney, 1000 guineas]
-
A.
prizeMoneyCurrency
Indicates the currency in which the prize money is denominated or paid.
-
B.
hasPrizeMoney
chosen
Indicates that an entity awards, offers, or is associated with a specified amount of prize money.
-
C.
prizeMoneyLevel
Indicates the relative amount or tier of monetary reward associated with a prize or award.
-
D.
formerTopPrize
Indicates that an entity once held the highest or most prestigious prize or award in a given context, but no longer does.
-
E.
equalPrizeMoneySince
Indicates that the prize money awarded has been the same for the referenced parties starting from a specific point in time.
- 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.