Triple
T24040563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashiya Station |
E595360
|
entity |
| Predicate | operatorChangedFrom |
P67036
|
FINISHED |
| Object | Japanese National Railways |
—
|
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: Japanese National Railways | Statement: [Ashiya Station, operatorChangedFrom, Japanese National Railways]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatorChangedFrom Context triple: [Ashiya Station, operatorChangedFrom, Japanese National Railways]
-
A.
namespaceChangedFrom
Indicates that an entity’s namespace has been modified, specifying the previous namespace it was changed from.
-
B.
changedFrom
chosen
Indicates that an entity previously had one state, value, or form and was altered or updated from that prior condition to a new one.
-
C.
namespaceChangedTo
Indicates that an entity’s namespace has been updated or reassigned from its previous value to a new one.
-
D.
operatorAffected
Indicates that an operator is impacted or influenced by a particular action, event, or condition.
-
E.
changedUnder
Indicates that one entity has undergone alteration, modification, or transformation as a result of the influence, action, or conditions imposed by 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_69e288c06a908190899cad4531f32c9a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d8d8b7248190a4e7f152d6bfc2bc |
completed | April 29, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:57 p.m.