Triple
T28751240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagoya 5000 series |
E731532
|
entity |
| Predicate | reusedRollingStockFrom |
P165282
|
FINISHED |
| Object | Nagoya Municipal Subway |
—
|
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: Nagoya Municipal Subway | Statement: [Nagoya 5000 series, reusedRollingStockFrom, Nagoya Municipal Subway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reusedRollingStockFrom Context triple: [Nagoya 5000 series, reusedRollingStockFrom, Nagoya Municipal Subway]
-
A.
replacedRollingStock
Indicates that one rolling stock asset has been substituted or superseded by another in service or operational use.
-
B.
formerRollingStock
Indicates that an entity was previously used as rolling stock (e.g., railway vehicles) but no longer serves in that capacity.
-
C.
relatedRollingStock
Indicates a relationship between pieces of rolling stock that are associated with each other, such as through shared operations, configurations, or functional linkage.
-
D.
laterRollingStock
Indicates that one piece of rolling stock comes into use or service at a later time than another piece of rolling stock.
-
E.
ownedRollingStock
Indicates that one entity possesses or has ownership rights over specific rolling stock (such as trains, railcars, or locomotives).
- 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_69f043ed68a881909e858a06bab7a247 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f657f653448190a945b4751af8507d |
completed | May 2, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69f651ada6048190a7b4a6981565dc3a |
completed | May 2, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69f6562ef4e4819082ce6abd41b74dc5 |
completed | May 2, 2026, 7:53 p.m. |
Created at: April 28, 2026, 6:07 a.m.