Triple

T6897237
Position Surface form Disambiguated ID Type / Status
Subject Emperor Kōmei E159399 entity
Predicate eraNameUsedDuringReign P55549 FINISHED
Object Kōka
Kōka was a mid-19th-century Japanese era (nengō) marked by political unrest and growing foreign pressure near the end of the Edo period.
 E393875 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: Kōka | Statement: [Emperor Kōmei, eraNameUsedDuringReign, Kōka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kōka
Context triple: [Emperor Kōmei, eraNameUsedDuringReign, Kōka]
  • A. Kōka
    Kōka is a city in Shiga Prefecture, Japan, historically famous as the home of the Kōga ninja tradition.
  • B. Takayama
    Takayama is a historic mountain city in Japan’s Gifu Prefecture, known for its well-preserved Edo-period streets, traditional wooden houses, and proximity to the Japanese Alps.
  • C. Iizuka
    Iizuka is a city in Fukuoka Prefecture, Japan, known historically for its coal mining industry and now as a regional commercial and residential center.
  • D. Kyotanabe
    Kyotanabe is a city in Kyoto Prefecture, Japan, known for its residential suburbs, educational institutions, and location within the Kansai region.
  • E. Kaizuka
    Kaizuka is a coastal city in Osaka Prefecture, Japan, known for its historical temples, traditional festivals, and proximity to Osaka Bay.
  • 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: Kōka
Triple: [Emperor Kōmei, eraNameUsedDuringReign, Kōka]
Generated description
Kōka was a mid-19th-century Japanese era (nengō) marked by political unrest and growing foreign pressure near the end of the Edo period.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kōka
Target entity description: Kōka was a mid-19th-century Japanese era (nengō) marked by political unrest and growing foreign pressure near the end of the Edo period.
  • A. Kōka chosen
    Kōka is a city in Shiga Prefecture, Japan, historically famous as the home of the Kōga ninja tradition.
  • B. Takayama
    Takayama is a historic mountain city in Japan’s Gifu Prefecture, known for its well-preserved Edo-period streets, traditional wooden houses, and proximity to the Japanese Alps.
  • C. Iizuka
    Iizuka is a city in Fukuoka Prefecture, Japan, known historically for its coal mining industry and now as a regional commercial and residential center.
  • D. Kyotanabe
    Kyotanabe is a city in Kyoto Prefecture, Japan, known for its residential suburbs, educational institutions, and location within the Kansai region.
  • E. Kaizuka
    Kaizuka is a coastal city in Osaka Prefecture, Japan, known for its historical temples, traditional festivals, and proximity to Osaka Bay.
  • F. None of above.

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_69c6883822e0819091e321526f20ae0a completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d95c44a48190876d62749411bbb6 completed March 27, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d74fa545b8819092809c605542476a completed April 9, 2026, 7:05 a.m.
NEDg Description generation batch_69d751ab890c8190b1549619049dab91 completed April 9, 2026, 7:13 a.m.
NED2 Entity disambiguation (via description) batch_69d7619e97588190a1443f9438c6efc0 completed April 9, 2026, 8:21 a.m.
Created at: March 27, 2026, 2:24 p.m.