Triple
T16124317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jōzankei Onsen |
E391226
|
entity |
| Predicate | distanceFromSapporoCenter |
P49917
|
FINISHED |
| Object | about 26 km southwest |
—
|
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 26 km southwest | Statement: [Jōzankei Onsen, distanceFromSapporoCenter, about 26 km southwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromSapporoCenter Context triple: [Jōzankei Onsen, distanceFromSapporoCenter, about 26 km southwest]
-
A.
distanceToSapporo
chosen
Indicates the measured or calculated distance between a given entity and the location of Sapporo.
-
B.
distanceFromNagoyaCityCenterKilometers
Indicates the distance, measured in kilometers, between an entity and the center of Nagoya City.
-
C.
distanceFromShibuyaTerminus_km
Indicates the distance, measured in kilometers, from the Shibuya terminus to the referenced location or entity.
-
D.
distanceFromNaha
Indicates the spatial distance between a given location and Naha.
-
E.
distanceFromTokyo
Indicates the physical distance between a given location and Tokyo.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2020342988190add65c784b8ee179 |
completed | April 17, 2026, 9:48 a.m. |
| PD | Predicate disambiguation | batch_69e1828518c48190a8ef3aaa46a1f639 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5 a.m.