Triple
T28346647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E8 series Shinkansen |
E717972
|
entity |
| Predicate | maximumSpeedOnMiniShinkansenSections |
P171121
|
FINISHED |
| Object | 130 km/h |
—
|
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: 130 km/h | Statement: [E8 series Shinkansen, maximumSpeedOnMiniShinkansenSections, 130 km/h]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumSpeedOnMiniShinkansenSections Context triple: [E8 series Shinkansen, maximumSpeedOnMiniShinkansenSections, 130 km/h]
-
A.
miniShinkansenPrecededBy
Indicates that one mini Shinkansen service, line, or project occurs or is implemented after and in sequence to another specified mini Shinkansen service, line, or project.
-
B.
speedOfHighSpeedTrain
chosen
Indicates the velocity at which a high-speed train is traveling.
-
C.
hasHighSpeedSections
Indicates that the entity includes segments or portions where operation or movement occurs at high speed.
-
D.
operatesShinkansenSection
Indicates that an entity operates or manages the service of a specific section of a Shinkansen (high-speed rail) line.
-
E.
travelTimeFromTokyoByShinkansen
Indicates the amount of time required to travel from Tokyo to another location using the Shinkansen (bullet train).
- 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_69eff6eb30388190b898b96c4be6f49d |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d26ceb08819091c71c001e954936 |
completed | May 3, 2026, 4:43 a.m. |
Created at: April 28, 2026, 12:43 a.m.