Triple
T37865090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 嵯峨嵐山駅 |
E944447
|
entity |
| Predicate | distanceFromKyotoStation_km |
P36170
|
FINISHED |
| Object | 7.7 |
—
|
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: 7.7 | Statement: [嵯峨嵐山駅, distanceFromKyotoStation_km, 7.7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromKyotoStation_km Context triple: [嵯峨嵐山駅, distanceFromKyotoStation_km, 7.7]
-
A.
distanceFromKyotoStation
chosen
Indicates the spatial distance between a given location and Kyoto Station.
-
B.
distanceFromKyoto
Indicates the measured spatial distance between a given entity’s location and the city of Kyoto.
-
C.
distanceFromTokyoStationOnTokaidoMainLine_km
Indicates the distance in kilometers of a location measured along the Tokaido Main Line from Tokyo Station.
-
D.
distanceFromTokyoStationOnTokaidoShinkansen_km
Indicates the distance in kilometers from Tokyo Station to a given location along the Tokaido Shinkansen line.
-
E.
distanceToShinjukuStation_km
Indicates the physical distance, measured in kilometers, between a given place and Shinjuku 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_69f76eee2f9c8190b1272aa2ee55ebf5 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a192a008190a9917688a9e804f4 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:19 p.m.