Triple
T16516639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miette Hot Springs |
E401200
|
entity |
| Predicate | waterIsCooledBeforeEnteringPools |
P27141
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Miette Hot Springs, waterIsCooledBeforeEnteringPools, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterIsCooledBeforeEnteringPools Context triple: [Miette Hot Springs, waterIsCooledBeforeEnteringPools, true]
-
A.
swimmingAllowed
Indicates that swimming is permitted at a particular place, time, or under specified conditions.
-
B.
waterTemperatureComparedTo
Indicates how the temperature of one body or sample of water compares to the temperature of another.
-
C.
waterCondition
chosen
Indicates the state or quality of water affecting an entity, such as its cleanliness, safety, or suitability for a particular use.
-
D.
coolingWaterSourceLicensed
Indicates that the source of cooling water used (e.g., for industrial or energy production purposes) is formally licensed or authorized by the relevant regulatory authority.
-
E.
coolingRequirement
Indicates that an entity requires or is subject to a specific amount or type of cooling to operate within acceptable conditions.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e7c7e588190acbcc2b807a98909 |
completed | April 18, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69e296995d388190b88ebe189dce890d |
completed | April 17, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:14 a.m.