Triple
T15260448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Derby |
E364759
|
entity |
| Predicate | prizeMoneyStatus |
P81900
|
FINISHED |
| Object | one of the richest horse races in Britain |
—
|
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: one of the richest horse races in Britain | Statement: [The Derby, prizeMoneyStatus, one of the richest horse races in Britain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prizeMoneyStatus Context triple: [The Derby, prizeMoneyStatus, one of the richest horse races in Britain]
-
A.
hasPrizeMoney
Indicates that an entity awards, offers, or is associated with a specified amount of prize money.
-
B.
prizeMoneyLevel
chosen
Indicates the relative amount or tier of monetary reward associated with a prize or award.
-
C.
prizeMoneyCurrency
Indicates the currency in which the prize money is denominated or paid.
-
D.
equalPrizeMoneySince
Indicates that the prize money awarded has been the same for the referenced parties starting from a specific point in time.
-
E.
prizeOfficialName
Indicates the formal, officially recognized name assigned to a prize.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0084e85a08190b8e63598b9f6a535 |
completed | April 15, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69deca8d1bd48190a4b94f29b425e335 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:14 a.m.