Triple

T28060260
Position Surface form Disambiguated ID Type / Status
Subject Kameari E709084 entity
Predicate hasFictionalPoliceBox P95623 FINISHED
Object Kameari Kōen-mae Hashutsujo
Kameari Kōen-mae Hashutsujo is the fictional neighborhood police station that serves as the central setting of the long-running Japanese manga and anime series "Kochira Katsushika-ku Kameari Kōen-mae Hashutsujo" ("Kochikame").
 E1867183 NE FINISHED

How this triple was built (3 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]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kameari Kōen-mae Hashutsujo
Triple: [Kameari, hasFictionalPoliceBox, Kameari Kōen-mae Hashutsujo]
Generated description
Kameari Kōen-mae Hashutsujo is the fictional neighborhood police station that serves as the central setting of the long-running Japanese manga and anime series "Kochira Katsushika-ku Kameari Kōen-mae Hashutsujo" ("Kochikame").
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 (6 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.
NED1 Entity disambiguation (via context triple) batch_6a25d8eea2c48190ab973cacb1177bca completed June 7, 2026, 8:47 p.m.
NEDg Description generation batch_6a25dd7c29888190a5c9f7c1f8ab9152 completed June 7, 2026, 9:07 p.m.
NED2 Entity disambiguation (via description) batch_6a25e22054d081908784600599c12ed5 completed June 7, 2026, 9:26 p.m.
PD Predicate disambiguation batch_69fcecdb97f48190b382b7d13be92dc0 completed May 7, 2026, 7:49 p.m.
Created at: April 27, 2026, 8:39 p.m.