Triple
T15954164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kintetsu Group Holdings |
E386890
|
entity |
| Predicate | railwayNetworkLength |
P121115
|
FINISHED |
| Object | one of the longest private railway networks in Japan |
—
|
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: one of the longest private railway networks in Japan | Statement: [Kintetsu Group Holdings, railwayNetworkLength, one of the longest private railway networks in Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railwayNetworkLength Context triple: [Kintetsu Group Holdings, railwayNetworkLength, one of the longest private railway networks in Japan]
-
A.
railwayLineLength
Indicates the total measured length of a railway line.
-
B.
railroadNetwork
Indicates a relationship where locations are connected as part of the same system of railway lines and infrastructure used for train transport.
-
C.
numberOfRailLines
Indicates the total count of rail lines associated with or serving a given 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.
railwayLine
Indicates that there is a railway line connection or route associated with or passing through the referenced 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142d37cd88190ab50760f1783e20c |
completed | April 16, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69e17d48cc9c8190b03fd07ae2e9dfd8 |
completed | April 17, 2026, 12:22 a.m. |
Created at: April 10, 2026, 4:53 a.m.