Triple
T27265355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yokohama Minatomirai Railway Company |
E687885
|
entity |
| Predicate | railwayLineLengthOperated |
P77732
|
FINISHED |
| Object | Minatomirai Line |
—
|
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: Minatomirai Line | Statement: [Yokohama Minatomirai Railway Company, railwayLineLengthOperated, Minatomirai Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railwayLineLengthOperated Context triple: [Yokohama Minatomirai Railway Company, railwayLineLengthOperated, Minatomirai Line]
-
A.
railwayLineLength
chosen
Indicates the total measured length of a railway line.
-
B.
railwayNetworkLength
Indicates the total measured length of all railway tracks within a specified railway network.
-
C.
operatesRailNetworkOf
Indicates that one entity manages and runs the rail network belonging to or associated with another entity.
-
D.
numberOfElectrifiedLines
Indicates the quantity of railway or transit lines within a system or network that are equipped with electrical power infrastructure for operation.
-
E.
railwayLineUsage
Indicates how a railway line is used, such as the type or purpose of traffic or operations it supports.
- 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_69ef3557abc481908bf3c146f0f3356a |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f676c440708190a4b9974e95d2291a |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 27, 2026, 10:55 a.m.