Triple
T27181120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kita, Tokyo |
E683193
|
entity |
| Predicate | containsRailwayHub |
P1071
|
FINISHED |
| Object | Akabane 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: Akabane Station | Statement: [Kita, Tokyo, containsRailwayHub, Akabane Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsRailwayHub Context triple: [Kita, Tokyo, containsRailwayHub, Akabane Station]
-
A.
isRegionalRailwayHub
Indicates that a location functions as a central node in a regional railway network, where multiple rail lines converge or are coordinated.
-
B.
hasTransportHub
Indicates that a location contains or serves as a central facility where multiple transport routes or modes connect for passenger or cargo movement.
-
C.
hasMajorRailwayStation
chosen
Indicates that a place contains or is served by a principal railway station that functions as a major hub for rail transport.
-
D.
hasRailwayStation
Indicates that a place or location is served by, or contains, a railway station.
-
E.
hasRailwayTown
Indicates that a location is associated with or contains a town characterized by the presence of a railway or railway facilities.
- 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_69eefad086808190ab89816c0c300476 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69fd02680d948190a3463fb119ba8556 |
completed | May 7, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69fcf89c69b4819082bbc564bd15137d |
completed | May 7, 2026, 8:39 p.m. |
Created at: April 27, 2026, 9:28 a.m.