Triple
T37764579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurama area |
E941377
|
entity |
| Predicate | distanceFromKyotoCenter |
P42797
|
FINISHED |
| Object | approximately 12–15 km north |
—
|
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 12–15 km north | Statement: [Kurama area, distanceFromKyotoCenter, approximately 12–15 km north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromKyotoCenter Context triple: [Kurama area, distanceFromKyotoCenter, approximately 12–15 km north]
-
A.
distanceFromKyotoStation
Indicates the spatial distance between a given location and Kyoto Station.
-
B.
distanceFromKyoto
chosen
Indicates the measured spatial distance between a given entity’s location and the city of Kyoto.
-
C.
distanceFromNagoyaCityCenterKilometers
Indicates the distance, measured in kilometers, between an entity and the center of Nagoya City.
-
D.
distanceToIōtō
Indicates the spatial distance between a subject and the location Iōtō.
-
E.
distanceFromKobeStation
Indicates the spatial distance between a given location and Kobe Station.
- 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_69f76ee3251881909bb4451aad50752b |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:19 p.m.