Triple
T35842267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsumago-juku |
E1036116
|
entity |
| Predicate | approximateWalkingTimeToMagome-juku |
P53938
|
FINISHED |
| Object | 2 to 3 hours |
—
|
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: 2 to 3 hours | Statement: [Tsumago-juku, approximateWalkingTimeToMagome-juku, 2 to 3 hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateWalkingTimeToMagome-juku Context triple: [Tsumago-juku, approximateWalkingTimeToMagome-juku, 2 to 3 hours]
-
A.
hasApproximateWalkingTimeTo
chosen
Indicates that there is an estimated or approximate amount of time it takes to walk from one entity to another.
-
B.
trailDistanceToTsumagoJuku
Indicates the distance along a trail from a given location to Tsumago-juku.
-
C.
approximateHikingTimeFromKamikochi
Indicates the estimated duration it typically takes to complete a hike starting from Kamikochi.
-
D.
distanceToIōtō
Indicates the spatial distance between a subject and the location Iōtō.
-
E.
travelTimeFromTokyoByShinkansen
Indicates the amount of time required to travel from Tokyo to another location using the Shinkansen (bullet train).
- 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_69f76e1a29e8819088280f26096aeb55 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff779e3f0c8190a861f1e4000fd9d9 |
completed | May 9, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69ff77202638819086e4b9f9c0bc7b31 |
completed | May 9, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:06 p.m.