Triple
T21338907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kashiwanoha-campus Station |
E526126
|
entity |
| Predicate | lineDistanceFromTerminus |
P3387
|
FINISHED |
| Object | about 25.6 km from Akihabara Station |
—
|
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 25.6 km from Akihabara Station | Statement: [Kashiwanoha-campus Station, lineDistanceFromTerminus, about 25.6 km from Akihabara Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lineDistanceFromTerminus Context triple: [Kashiwanoha-campus Station, lineDistanceFromTerminus, about 25.6 km from Akihabara Station]
-
A.
distanceFromTerminus
chosen
Indicates the measured distance of an entity from a defined endpoint or terminus along a route, path, or sequence.
-
B.
distanceToTerminal
Indicates the measured or calculated distance from a given entity or location to a specified terminal point or facility.
-
C.
lineTerminusDirection
Indicates the directional orientation or bearing at which a line segment or route terminates at its endpoint.
-
D.
distanceFromStart
Indicates the measured distance between an entity’s current position and its starting point.
-
E.
wireDistance
Indicates the physical separation or length of wire between two connected points or components.
- 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_69e0b51c33048190ab27cede74ef798c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e898dbea44819096dd25701ee462f9 |
completed | April 22, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69e6161feea4819091d13bb003363279 |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 4:44 p.m.