Triple
T37010263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ōmagari–Akita section |
E915922
|
entity |
| Predicate | locatedInRailwaySystem |
P155710
|
FINISHED |
| Object | JR East network |
E694153
|
NE 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: JR East network | Statement: [Ōmagari–Akita section, locatedInRailwaySystem, JR East network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInRailwaySystem Context triple: [Ōmagari–Akita section, locatedInRailwaySystem, JR East network]
-
A.
isRailwayIn
Indicates that a railway is located within or passes through a specified geographic or administrative area.
-
B.
railwaySystemPartOf
chosen
Indicates that one railway-related component or subsystem belongs to, is included within, or forms a constituent part of a larger railway system.
-
C.
isOnRailway
Indicates that one entity is positioned on, aligned with, or traveling along a railway track or railway system in relation to another entity.
-
D.
connectsToRailwayNetwork
Indicates that one entity is physically or functionally linked to a railway network, allowing access or transfer between them.
-
E.
railwaySystemServed
Indicates that a railway system provides service to, or operates within, a specified location or area.
- F. None of above.
Provenance (4 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_69f76e90ed548190b187d2475f5c807d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3e576ecbb8819088c982b3775b7524 |
completed | June 26, 2026, 10:41 a.m. |
| PD | Predicate disambiguation | batch_6a037a10036481909c71188b2a0e7f04 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:14 p.m.