Triple
T14812157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shinsen Station |
E348206
|
entity |
| Predicate | servedByCompanyType |
P100243
|
FINISHED |
| Object | private railway operator |
—
|
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: private railway operator | Statement: [Shinsen Station, servedByCompanyType, private railway operator]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servedByCompanyType Context triple: [Shinsen Station, servedByCompanyType, private railway operator]
-
A.
servesCompany
Indicates that one entity provides services or performs duties in support of a company.
-
B.
underlyingCompanyType
Indicates the classification or category of company that forms the basis or source for another related entity or instrument.
-
C.
backedCompanyType
Indicates the type or category of company that is being financially supported or invested in by another party.
-
D.
operatedByCompany
Indicates that an entity is run, managed, or controlled by a specific company.
-
E.
belongsToCompanyType
chosen
Indicates that an entity is associated with or classified under a particular type or category of company.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf374f288190aa918b1b6b507420 |
completed | April 14, 2026, 11:35 p.m. |
| PD | Predicate disambiguation | batch_69de8c0ef8a4819092d84478b1f56db1 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:47 a.m.