Triple
T9942915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akita Shinkansen |
E194126
|
entity |
| Predicate | rollingStockFormation |
P91275
|
FINISHED |
| Object | 7-car E6 series sets |
—
|
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: 7-car E6 series sets | Statement: [Akita Shinkansen, rollingStockFormation, 7-car E6 series sets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rollingStockFormation Context triple: [Akita Shinkansen, rollingStockFormation, 7-car E6 series sets]
-
A.
rollingStockType
Indicates the specific category or type of railway rolling stock associated with an entity (e.g., locomotive, passenger car, freight wagon).
-
B.
rollingStockOperator
Indicates that an entity operates or manages rolling stock, such as trains or rail vehicles, in a railway system.
-
C.
rollingStockGauge
Indicates that one rolling stock entity is designed to operate on tracks built to a specific track gauge standard.
-
D.
rollingStockFamily
Indicates a relationship where a piece of rolling stock belongs to, or is classified under, a particular family or series of related rolling stock designs.
-
E.
rollingStockManufacturer
Indicates that one entity is the company or organization that manufactures the rolling stock (rail vehicles) used or owned by another entity.
- F. None of above. chosen
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_69ca82e409348190a393777356b80a2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb6124a188190b41feadb7b2f8922 |
completed | April 2, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9428cc81909b4b4938566d78a7 |
completed | April 1, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69cd358386f48190833c862b5b8c04b2 |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:45 p.m.