Triple
T28060260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kameari |
E709084
|
entity |
| Predicate | hasFictionalPoliceBox |
P95623
|
FINISHED |
| Object | Kameari Kōen-mae Hashutsujo |
—
|
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: Kameari Kōen-mae Hashutsujo | Statement: [Kameari, hasFictionalPoliceBox, Kameari Kōen-mae Hashutsujo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFictionalPoliceBox Context triple: [Kameari, hasFictionalPoliceBox, Kameari Kōen-mae Hashutsujo]
-
A.
hasFictionalTubeStation
Indicates that an entity features or is associated with a tube (subway) station that exists only in fiction rather than in reality.
-
B.
hasFictionalPoliceDepartment
chosen
Indicates that an entity is associated with or features a police department that exists only within a fictional or imaginary context.
-
C.
hasFictionalPostcode
Indicates that an entity is associated with a postcode that is invented or not used in the real-world postal system.
-
D.
hasFictionalChipShop
Indicates that an entity is associated with, or features, a fictional chip shop (e.g., as a setting, location, or element in a narrative).
-
E.
hasFictionalOffice
Indicates that one entity maintains or is associated with an office or workplace that exists only in a fictional or imaginary context.
- 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_69ef9b6eb6d88190a3fea236eb0f7bed |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69fcef654d588190b29ecc76678d1aa0 |
completed | May 7, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69fcecdb97f48190b382b7d13be92dc0 |
completed | May 7, 2026, 7:49 p.m. |
Created at: April 27, 2026, 8:39 p.m.