Triple
T35616315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JR Central (Tokaido Shinkansen) |
E1029176
|
entity |
| Predicate | operatedRollingStockSeries |
P67417
|
FINISHED |
| Object | N700 series Shinkansen |
—
|
NE NERFINISHED |
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: N700 series Shinkansen | Statement: [JR Central (Tokaido Shinkansen), operatedRollingStockSeries, N700 series Shinkansen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatedRollingStockSeries Context triple: [JR Central (Tokaido Shinkansen), operatedRollingStockSeries, N700 series Shinkansen]
-
A.
branchLineRollingStock
Indicates that the rolling stock is assigned to or operates on a branch line rather than a main line.
-
B.
servicesRollingStock
Indicates that an entity provides operational services to or performs work on rolling stock (such as trains or rail vehicles).
-
C.
locomotiveSeries
Indicates that one locomotive belongs to, or is classified under, a particular locomotive series or model line.
-
D.
operatedRollingStockClass
chosen
Indicates that an entity (such as a company or operator) has operated a specific class or type of rolling stock (e.g., trains or rail vehicles).
-
E.
formerRollingStock
Indicates that an entity was previously used as rolling stock (e.g., railway vehicles) but no longer serves in that capacity.
- 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_69f76e0709408190bbe322bf1707ef6b |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a0154b16a3c8190b808a460ae3a91ac |
completed | May 11, 2026, 4:01 a.m. |
| PD | Predicate disambiguation | batch_6a01539f19d88190b2de63f5262b1074 |
completed | May 11, 2026, 3:57 a.m. |
Created at: May 3, 2026, 4:05 p.m.