Triple

T11741924
Position Surface form Disambiguated ID Type / Status
Subject Kyoto city authorities E279175 entity
Predicate seat P75 FINISHED
Object Kyoto City Hall
Kyoto City Hall is the main administrative and governmental headquarters of the city of Kyoto, Japan.
E944448 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: Kyoto City Hall | Statement: [Kyoto city authorities, seat, Kyoto City Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyoto City Hall
Context triple: [Kyoto city authorities, seat, Kyoto City Hall]
  • A. Himeji City Hall
    Himeji City Hall is the main municipal government building and administrative center serving the city of Himeji in Hyōgo Prefecture, Japan.
  • B. Osaka City Hall
    Osaka City Hall is the main administrative headquarters of Osaka City, located in the central Nakanoshima district and housing the city’s municipal government offices.
  • C. Nagoya City Hall
    Nagoya City Hall is the central municipal government building and administrative headquarters of the city of Nagoya, Japan.
  • D. Sendai City Hall
    Sendai City Hall is the main municipal government building and administrative center for the city of Sendai in Miyagi Prefecture, Japan.
  • E. Izumo City Hall
    Izumo City Hall is the main administrative building and local government headquarters serving the city of Izumo in Shimane Prefecture, Japan.
  • 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: Kyoto City Hall
Triple: [Kyoto city authorities, seat, Kyoto City Hall]
Generated description
Kyoto City Hall is the main administrative and governmental headquarters of the city of Kyoto, Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kyoto City Hall
Target entity description: Kyoto City Hall is the main administrative and governmental headquarters of the city of Kyoto, Japan.
  • A. Himeji City Hall
    Himeji City Hall is the main municipal government building and administrative center serving the city of Himeji in Hyōgo Prefecture, Japan.
  • B. Osaka City Hall
    Osaka City Hall is the main administrative headquarters of Osaka City, located in the central Nakanoshima district and housing the city’s municipal government offices.
  • C. Nagoya City Hall
    Nagoya City Hall is the central municipal government building and administrative headquarters of the city of Nagoya, Japan.
  • D. Sendai City Hall
    Sendai City Hall is the main municipal government building and administrative center for the city of Sendai in Miyagi Prefecture, Japan.
  • E. Izumo City Hall
    Izumo City Hall is the main administrative building and local government headquarters serving the city of Izumo in Shimane Prefecture, Japan.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4f191388190bd6ef7e80c41ca48 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f019d331888190866bdd04f6c73e08 completed April 28, 2026, 2:22 a.m.
NEDg Description generation batch_69f0319520dc8190817c5e75ddb7d40b completed April 28, 2026, 4:03 a.m.
NED2 Entity disambiguation (via description) batch_69f05aa351888190a31092e6a9aee26b completed April 28, 2026, 6:58 a.m.
Created at: April 8, 2026, 9:41 p.m.