Triple
T7925603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central East Exit |
E184051
|
entity |
| Predicate | operatorStation |
P42386
|
FINISHED |
| Object | Shinjuku Station operators |
—
|
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: Shinjuku Station operators | Statement: [Central East Exit, operatorStation, Shinjuku Station operators]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatorStation Context triple: [Central East Exit, operatorStation, Shinjuku Station operators]
-
A.
operatedStation
chosen
Indicates that one entity managed, ran, or was responsible for the operation of a particular station.
-
B.
ownedStation
Indicates that one entity possesses ownership or control over a particular station.
-
C.
associatedStation
Indicates a relationship where one entity is linked or connected to a particular station as its relevant or related station.
-
D.
operatorStatus
Indicates the current operational state or condition of an operator (e.g., active, inactive, or in error).
-
E.
operateIn
Indicates that an entity performs its activities, functions, or services within a specified location, context, or domain.
- 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_69ca828fe7bc819090f52c88dcd72183 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3aad48908190911905b4635bf01e |
completed | March 31, 2026, 3:08 a.m. |
| PD | Predicate disambiguation | batch_69cae9316e98819080be7bf1a6ff92f1 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:06 p.m.