Triple
T18344480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UAE Derby |
E439498
|
entity |
| Predicate | approxPurse |
P122697
|
FINISHED |
| Object | $1,000,000 range |
—
|
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: $1,000,000 range | Statement: [UAE Derby, approxPurse, $1,000,000 range]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approxPurse Context triple: [UAE Derby, approxPurse, $1,000,000 range]
-
A.
approximatePurse
chosen
Indicates that one entity estimates or comes close to determining the value, amount, or contents of another entity’s purse or collection of resources.
-
B.
totalPurse
Indicates the total amount of prize money or winnings available in a given competitive event or context.
-
C.
purse
Indicates attempting to influence or persuade someone to adopt a particular course of action, belief, or decision.
-
D.
currencyOfPurse
Indicates the type of currency that is contained in or associated with a given purse.
-
E.
currencyOfPurseScale
Indicates the type or unit of currency used to measure or express the value or contents of a purse at a given scale.
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e514f2c8ec8190b045482846a68204 |
completed | April 19, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69e44fe91bc08190906518e1b120fcf0 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:37 a.m.