Triple
T21715794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 大宮駅 |
E536024
|
entity |
| Predicate | 鉄道ネットワーク上の位置付け |
P5885
|
FINISHED |
| Object | 首都圏の主要ハブ駅 |
—
|
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: 首都圏の主要ハブ駅 | Statement: [大宮駅, 鉄道ネットワーク上の位置付け, 首都圏の主要ハブ駅]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 鉄道ネットワーク上の位置付け Context triple: [大宮駅, 鉄道ネットワーク上の位置付け, 首都圏の主要ハブ駅]
-
A.
connectsToRailwayNetwork
Indicates that one entity is physically or functionally linked to a railway network, allowing access or transfer between them.
-
B.
railNetworkRole
chosen
Indicates the specific function or responsibility an entity has within a rail network system.
-
C.
belongsToRailNetwork
Indicates that something is part of, or included within, a specific rail network.
-
D.
isRailwayIn
Indicates that a railway is located within or passes through a specified geographic or administrative area.
-
E.
railroadNetwork
Indicates a relationship where locations are connected as part of the same system of railway lines and infrastructure used for train transport.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb53761b48190954a46e8155a84f0 |
completed | April 27, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69e6969725bc81908e7ad19619ba2688 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:47 p.m.