Triple
T34771579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takayama Main Line (JR Central section) |
E1002375
|
entity |
| Predicate | adjacentOperator |
P54001
|
FINISHED |
| Object | JR West |
—
|
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 West | Statement: [Takayama Main Line (JR Central section), adjacentOperator, JR West]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjacentOperator Context triple: [Takayama Main Line (JR Central section), adjacentOperator, JR West]
-
A.
isAdjacentTo
Indicates that one entity is directly next to or bordering another without anything of the same type in between.
-
B.
operator
Indicates that one entity functions as the operator (controller or handler) of another entity, such as a system, device, or process.
-
C.
operatorSymbol
Indicates the symbolic notation used to represent an operator in an expression or formal system.
-
D.
operatorBase
Indicates that one entity serves as the primary or foundational operator for another entity or operation.
-
E.
associatedWithOperator
chosen
Indicates that an entity has a relationship, connection, or linkage to a specific operator (such as a service, system, or organization) involved in its operation or management.
- 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_69f76db20dac8190b1e8d0ca4dc1d59f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fbc9d1dba881908c399b8e1dc13ce2 |
completed | May 6, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 3:59 p.m.