Triple
T24140673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timpanogos Cave National Monument |
E598222
|
entity |
| Predicate | caveTemperature |
P154993
|
FINISHED |
| Object | about 45 degrees Fahrenheit |
—
|
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: about 45 degrees Fahrenheit | Statement: [Timpanogos Cave National Monument, caveTemperature, about 45 degrees Fahrenheit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: caveTemperature Context triple: [Timpanogos Cave National Monument, caveTemperature, about 45 degrees Fahrenheit]
-
A.
caveType
Indicates the specific classification or kind of cave associated with an entity.
-
B.
caveNumber
Indicates a relationship where an entity is assigned or associated with a specific cave identifier or number.
-
C.
hasCaveEntranceDepth
Indicates the depth or vertical distance of a cave’s entrance relative to a reference level (such as ground surface or sea level).
-
D.
undergroundCavernWidth
Indicates the horizontal extent or span of an underground cavern from one side to the other.
-
E.
undergroundCavernLength
Indicates the measured linear extent or distance from one end to the other of an underground cavern.
- 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_69e288c92e448190ac57034fa0c863ce |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1e005f7f48190b2c538bfc79a83b2 |
completed | April 29, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69f1765650fc8190a6bc1eb512b240bf |
completed | April 29, 2026, 3:09 a.m. |
| PDg | Predicate description generation | batch_69f17c28b684819084eea522126463f8 |
completed | April 29, 2026, 3:34 a.m. |
Created at: April 17, 2026, 11:28 p.m.