Triple
T33988512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karasawa Cirque |
E871475
|
entity |
| Predicate | approximateHikingTimeFromKamikochi |
P198709
|
FINISHED |
| Object | 6–8 hours one way |
—
|
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: 6–8 hours one way | Statement: [Karasawa Cirque, approximateHikingTimeFromKamikochi, 6–8 hours one way]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateHikingTimeFromKamikochi Context triple: [Karasawa Cirque, approximateHikingTimeFromKamikochi, 6–8 hours one way]
-
A.
approximateDescentTimeToGokyoVillage
Indicates the estimated amount of time required to descend to Gokyo Village from a given location.
-
B.
recommendedTimeToHike
Indicates the suggested or optimal time period during which one should undertake a particular hike.
-
C.
approximateHikeTimeRoundTrip
Indicates the estimated total time required to complete a hike from the starting point to the destination and back to the start.
-
D.
hikeLength
Indicates the distance or duration associated with a hiking activity or trail.
-
E.
distanceToSapporo
Indicates the measured or calculated distance between a given entity and the location of Sapporo.
- 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_69f3499e964c8190b674b03f6f791b4b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69feff70fbec8190b1ff5f943f29613e |
completed | May 9, 2026, 9:33 a.m. |
| PD | Predicate disambiguation | batch_69fefbcd5b7881909cfe52b32f8a4301 |
completed | May 9, 2026, 9:18 a.m. |
| PDg | Predicate description generation | batch_69feff703fec8190ab7d0633e0cc5459 |
completed | May 9, 2026, 9:33 a.m. |
Created at: May 1, 2026, 1:50 a.m.