Triple

T11566867
Position Surface form Disambiguated ID Type / Status
Subject Kyoto metropolitan area E274274 entity
Predicate coreCity P235 FINISHED
Object Jōyō
Jōyō is a city in Kyoto Prefecture, Japan, known for its residential communities and proximity to both Kyoto and Nara within the broader Kyoto metropolitan area.
 E933812 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: Jōyō | Statement: [Kyoto metropolitan area, coreCity, Jōyō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jōyō
Context triple: [Kyoto metropolitan area, coreCity, Jōyō]
  • A. Keiō
    Keiō was the final Japanese era of the Edo period, spanning the turbulent years leading up to the Meiji Restoration.
  • B. Shakujii
    Shakujii is a residential district in Nerima, Tokyo, known for its large parks, ponds, and suburban atmosphere.
  • C. Keihō
    Keihō is the primary criminal law code of Japan that defines offenses and their penalties.
  • D. Zaimu-shō
    Zaimu-shō is Japan’s Ministry of Finance, the central government body responsible for national fiscal policy, budgeting, taxation, and public finance management.
  • E. Kōdō
    Kōdō is the Lecture Hall of the historic Tōshōdai-ji Buddhist temple in Nara, Japan, used for religious teachings and ceremonial gatherings.
  • 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: Jōyō
Triple: [Kyoto metropolitan area, coreCity, Jōyō]
Generated description
Jōyō is a city in Kyoto Prefecture, Japan, known for its residential communities and proximity to both Kyoto and Nara within the broader Kyoto metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jōyō
Target entity description: Jōyō is a city in Kyoto Prefecture, Japan, known for its residential communities and proximity to both Kyoto and Nara within the broader Kyoto metropolitan area.
  • A. Keiō
    Keiō was the final Japanese era of the Edo period, spanning the turbulent years leading up to the Meiji Restoration.
  • B. Shakujii
    Shakujii is a residential district in Nerima, Tokyo, known for its large parks, ponds, and suburban atmosphere.
  • C. Keihō
    Keihō is the primary criminal law code of Japan that defines offenses and their penalties.
  • D. Zaimu-shō
    Zaimu-shō is Japan’s Ministry of Finance, the central government body responsible for national fiscal policy, budgeting, taxation, and public finance management.
  • E. Kōdō
    Kōdō is the Lecture Hall of the historic Tōshōdai-ji Buddhist temple in Nara, Japan, used for religious teachings and ceremonial gatherings.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88dd4305c8190ac5ff490b6b63e12 completed April 10, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e8c9a22c8190812c64b9f305ae99 completed April 21, 2026, 3:02 a.m.
NEDg Description generation batch_69e6ef951eb881909810b5923385c4c6 completed April 21, 2026, 3:31 a.m.
NED2 Entity disambiguation (via description) batch_69e6f94ac2d0819098a3024eaab908b5 completed April 21, 2026, 4:12 a.m.
Created at: April 8, 2026, 9:37 p.m.