Triple
T16516649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miette Hot Springs |
E401200
|
entity |
| Predicate | distanceFromJasper |
P123863
|
FINISHED |
| Object | approximately 60 km by road |
—
|
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: approximately 60 km by road | Statement: [Miette Hot Springs, distanceFromJasper, approximately 60 km by road]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromJasper Context triple: [Miette Hot Springs, distanceFromJasper, approximately 60 km by road]
-
A.
distanceFromMoab
Indicates the measured distance separating a given entity or location from Moab.
-
B.
distanceFromBryceCanyonVisitorCenter
Indicates the measured distance between a given location and the Bryce Canyon Visitor Center.
-
C.
distanceToSequoiaNationalParkEntrance
Indicates the physical distance between a given location and the entrance of Sequoia National Park.
-
D.
approximateDistanceFromSupai
Indicates the estimated spatial distance between a given entity or location and Supai.
-
E.
distanceFromDenver
Indicates the measured distance between a given location and Denver.
- 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_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. |
| PDg | Predicate description generation | batch_69e2d7f97e548190a474691a152bd8e8 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:14 a.m.