Triple
T28034604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kobe-Sannomiya Station (Hankyu) |
E708368
|
entity |
| Predicate | railwayNetworkRegion |
P15232
|
FINISHED |
| Object | Kobe area |
—
|
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: Kobe area | Statement: [Kobe-Sannomiya Station (Hankyu), railwayNetworkRegion, Kobe area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railwayNetworkRegion Context triple: [Kobe-Sannomiya Station (Hankyu), railwayNetworkRegion, Kobe area]
-
A.
railwayRegion
chosen
Indicates a relationship where a railway or rail network is associated with, located in, or administered within a particular geographic region.
-
B.
appliesToRailwayNetwork
Indicates that something is relevant or specifically applicable to a railway network as a whole.
-
C.
isRegionalRailwayHub
Indicates that a location functions as a central node in a regional railway network, where multiple rail lines converge or are coordinated.
-
D.
railroadNetwork
Indicates a relationship where locations are connected as part of the same system of railway lines and infrastructure used for train transport.
-
E.
railNetworkCenter
Indicates that a location functions as a central hub or focal point within a rail transportation network.
- 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_69ef9b6bdd9c8190bb3a574a03774ad1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f6a28c7c148190bfc980aad9f678ca |
completed | May 3, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69f69fe1e3c88190830bb2e9f407357e |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 27, 2026, 8:20 p.m.