Triple
T13468370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toda Station |
E311562
|
entity |
| Predicate | distanceFromLineTerminus |
P3387
|
FINISHED |
| Object | about 17 km from Ikebukuro 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 17 km from Ikebukuro Station | Statement: [Toda Station, distanceFromLineTerminus, about 17 km from Ikebukuro Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromLineTerminus Context triple: [Toda Station, distanceFromLineTerminus, about 17 km from Ikebukuro Station]
-
A.
distanceToTerminal
Indicates the measured or calculated distance from a given entity or location to a specified terminal point or facility.
-
B.
distanceFromTerminus
chosen
Indicates the measured distance of an entity from a defined endpoint or terminus along a route, path, or sequence.
-
C.
lineTerminusDirection
Indicates the directional orientation or bearing at which a line segment or route terminates at its endpoint.
-
D.
lineTerminusFor
Indicates that one entity serves as an endpoint or terminus of a particular line or linear feature represented by another entity.
-
E.
lineTerminatedBeyond
Indicates that a line or linear feature ends at a point located beyond a specified reference boundary or limit.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf21e46081908a00c9acf54f270f |
completed | April 12, 2026, 2:41 p.m. |
| PD | Predicate disambiguation | batch_69dbadfddefc81909ef7fde23b181b5c |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:42 p.m.