Triple
T3607418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Chitose Airport |
E76405
|
entity |
| Predicate | distanceToSapporo |
P49917
|
FINISHED |
| Object | approximately 45 km southeast |
—
|
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 45 km southeast | Statement: [New Chitose Airport, distanceToSapporo, approximately 45 km southeast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToSapporo Context triple: [New Chitose Airport, distanceToSapporo, approximately 45 km southeast]
-
A.
distanceFromTokyo
Indicates the physical distance between a given location and Tokyo.
-
B.
distanceToKyushu
Indicates the spatial distance between a given entity’s location and the region of Kyushu.
-
C.
distanceFromOsaka
Indicates the measured distance between a given place or object and the city of Osaka.
-
D.
distanceFromKyoto
Indicates the measured spatial distance between a given entity’s location and the city of Kyoto.
-
E.
distanceFromKyotoStation
Indicates the spatial distance between a given location and Kyoto Station.
- 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_69ad85da0ba481908b3b48c69efe2b98 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc228e24481909ae6a1e4ad796917 |
completed | March 8, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_69adb83d8b1c8190b3bddbc5dc995a87 |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb8e4ba948190a9b777cf7f788b96 |
completed | March 8, 2026, 5:59 p.m. |
Created at: March 8, 2026, 3:22 p.m.