Triple
T16541335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruidoso Downs Race Track |
E401824
|
entity |
| Predicate | currencyOfPurseScale |
P123956
|
FINISHED |
| Object | multi-million dollar purses |
—
|
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: multi-million dollar purses | Statement: [Ruidoso Downs Race Track, currencyOfPurseScale, multi-million dollar purses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currencyOfPurseScale Context triple: [Ruidoso Downs Race Track, currencyOfPurseScale, multi-million dollar purses]
-
A.
currencyOfPurse
Indicates the type of currency that is contained in or associated with a given purse.
-
B.
currencyDepicted
Indicates that one entity visually represents or shows the image or symbol of a particular currency on it.
-
C.
currencyGiven
Indicates that one entity transfers or provides money or a monetary unit to another entity.
-
D.
currencyOfDenomination
Indicates that one currency unit is a specific denomination or face value within another currency system.
-
E.
currencyDenomination
Indicates the specific unit or face value of a currency in which an amount of money is expressed.
- F. None of above. chosen
Provenance (4 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3455cf4b88190b3c9e93e158a7686 |
completed | April 18, 2026, 8:48 a.m. |
| PD | Predicate disambiguation | batch_69e2969fab208190ad64164d24748c45 |
completed | April 17, 2026, 8:22 p.m. |
| PDg | Predicate description generation | batch_69e2d7f97e548190a474691a152bd8e8 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:15 a.m.