Triple
T25118926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo Metro Yurakucho Line (Ikebukuro Station) |
E629213
|
entity |
| Predicate | adjacentStationTowards |
P162565
|
FINISHED |
| Object | Kanamecho Station |
—
|
NE NERFINISHED |
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: Kanamecho Station | Statement: [Tokyo Metro Yurakucho Line (Ikebukuro Station), adjacentStationTowards, Kanamecho Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjacentStationTowards Context triple: [Tokyo Metro Yurakucho Line (Ikebukuro Station), adjacentStationTowards, Kanamecho Station]
-
A.
adjacentStationTowards
chosen
Indicates that one station is directly next to another station in a specified direction along a route or line.
-
B.
adjacentStationTowardsSouth
Indicates that one station is directly next to another in the southward direction along a route or line.
-
C.
adjacentStationOnA
Indicates that one station is directly next to another station along line A in the network.
-
D.
adjacentStationWest
Indicates that one station is immediately to the west of another station in a spatial or network layout.
-
E.
adjacentStationTowardO Hare
Indicates that one station is directly next to another in the direction of O'Hare along a transit line.
- 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_69e2ff3169d08190973b6061d5009abd |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f62d89b89c8190afb372a8172111e7 |
completed | May 2, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69f62c1379f08190836c3e02b0c892df |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 18, 2026, 6:27 a.m.