Triple
T38555060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | national railway network of Japan |
E925220
|
entity |
| Predicate | currentMajorOperators |
P183481
|
FINISHED |
| Object | JR East |
—
|
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: JR East | Statement: [national railway network of Japan, currentMajorOperators, JR East]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentMajorOperators Context triple: [national railway network of Japan, currentMajorOperators, JR East]
-
A.
currentOperators
chosen
Indicates that certain entities are the operators who are presently active or responsible for operating a given system, process, or resource.
-
B.
hasMajorOperator
Indicates that an entity is primarily operated, managed, or run by a specified main operator or organization.
-
C.
coreOperator
Indicates that an entity functions as a primary or central operator responsible for executing or managing a core operation within a system or process.
-
D.
largestOperator
Indicates that the subject is the operator with the greatest size, capacity, or scale among a specified set of operators.
-
E.
initialOperator
Indicates that an entity serves as the first or primary operator initiating a process, action, or operation involving another entity.
- 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_69f76eaeb69c8190b367df9330d6f6af |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ffe8ebe9fc8190b1934a3c4074370c |
completed | May 10, 2026, 2:09 a.m. |
| PD | Predicate disambiguation | batch_69ffe83a5de88190bed3e8bac86e8760 |
completed | May 10, 2026, 2:06 a.m. |
Created at: May 3, 2026, 4:32 p.m.