Triple

T16226995
Position Surface form Disambiguated ID Type / Status
Subject Kōka E393875 entity
Predicate hasHistoricalRegion P915 FINISHED
Object Kōga
Kōga is a historic region in Japan best known as a major center of ninja (shinobi) activity and espionage during the feudal era.
 E1488994 NE FINISHED

How this triple was built (4 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: Kōga | Statement: [Kōka, hasHistoricalRegion, Kōga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kōga
Context triple: [Kōka, hasHistoricalRegion, Kōga]
  • A. Kōgō
    Kōgō is the Japanese term used to refer to the empress consort of Japan.
  • B. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • C. Tsuyama
    Tsuyama is a historic castle town in Okayama Prefecture, Japan, known for its well-preserved samurai district, cherry blossoms, and former Tsuyama Castle ruins.
  • D. Tōgane
    Tōgane is a coastal city in Chiba Prefecture, Japan, known for its proximity to the long sandy stretch of Kujūkuri Beach along the Pacific Ocean.
  • E. Kakogawa
    Kakogawa is an industrial and residential city in central Hyōgo Prefecture, Japan, known for its steel manufacturing and role as a regional transportation hub.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Kōga
Triple: [Kōka, hasHistoricalRegion, Kōga]
Generated description
Kōga is a historic region in Japan best known as a major center of ninja (shinobi) activity and espionage during the feudal era.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kōga
Target entity description: Kōga is a historic region in Japan best known as a major center of ninja (shinobi) activity and espionage during the feudal era.
  • A. Kōgō
    Kōgō is the Japanese term used to refer to the empress consort of Japan.
  • B. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • C. Tsuyama
    Tsuyama is a historic castle town in Okayama Prefecture, Japan, known for its well-preserved samurai district, cherry blossoms, and former Tsuyama Castle ruins.
  • D. Tōgane
    Tōgane is a coastal city in Chiba Prefecture, Japan, known for its proximity to the long sandy stretch of Kujūkuri Beach along the Pacific Ocean.
  • E. Kakogawa
    Kakogawa is an industrial and residential city in central Hyōgo Prefecture, Japan, known for its steel manufacturing and role as a regional transportation hub.
  • F. None of above. chosen

Provenance (5 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d26b02c819080b70ab7cc3bcc24 completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09e80b29f08190949c8bb718c1787a completed May 17, 2026, 4:08 p.m.
NEDg Description generation batch_6a09e8f8eb4481909ffd1566e8525314 completed May 17, 2026, 4:12 p.m.
NED2 Entity disambiguation (via description) batch_6a09e97bce4c8190bc9eb4cec0afe061 completed May 17, 2026, 4:14 p.m.
Created at: April 10, 2026, 5:03 a.m.