Triple

T6947341
Position Surface form Disambiguated ID Type / Status
Subject Itoman E160829 entity
Predicate governingBody P46 FINISHED
Object Itoman City Hall
Itoman City Hall is the main municipal government building and administrative center serving the city of Itoman in Okinawa, Japan.
E631329 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: Itoman City Hall | Statement: [Itoman, governingBody, Itoman City Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Itoman City Hall
Context triple: [Itoman, governingBody, Itoman City Hall]
  • A. Itami City Hall
    Itami City Hall is the main municipal government building and administrative center serving the city of Itami in Hyōgo Prefecture, Japan.
  • B. Kumamoto City Hall
    Kumamoto City Hall is the main municipal government building and administrative center of Kumamoto City in Japan.
  • C. Uruma City Hall
    Uruma City Hall is the main municipal government building and administrative center serving the city of Uruma in Okinawa Prefecture, Japan.
  • D. Izumo City Hall
    Izumo City Hall is the main administrative building and local government headquarters serving the city of Izumo in Shimane Prefecture, Japan.
  • E. Mishima City Hall
    Mishima City Hall is the main municipal government building and administrative center serving the city of Mishima in Shizuoka 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: Itoman City Hall
Triple: [Itoman, governingBody, Itoman City Hall]
Generated description
Itoman City Hall is the main municipal government building and administrative center serving the city of Itoman in Okinawa, Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Itoman City Hall
Target entity description: Itoman City Hall is the main municipal government building and administrative center serving the city of Itoman in Okinawa, Japan.
  • A. Itami City Hall
    Itami City Hall is the main municipal government building and administrative center serving the city of Itami in Hyōgo Prefecture, Japan.
  • B. Kumamoto City Hall
    Kumamoto City Hall is the main municipal government building and administrative center of Kumamoto City in Japan.
  • C. Uruma City Hall
    Uruma City Hall is the main municipal government building and administrative center serving the city of Uruma in Okinawa Prefecture, Japan.
  • D. Izumo City Hall
    Izumo City Hall is the main administrative building and local government headquarters serving the city of Izumo in Shimane Prefecture, Japan.
  • E. Mishima City Hall
    Mishima City Hall is the main municipal government building and administrative center serving the city of Mishima in Shizuoka 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_69c68850419081909fb426b8f5a304c7 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da8beb408190b5c87a354c614cf2 completed March 27, 2026, 7:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75870719481908312b387a3c6ce81 completed March 28, 2026, 4:26 a.m.
NEDg Description generation batch_69c759d65a008190a6121949651dcd5c completed March 28, 2026, 4:32 a.m.
NED2 Entity disambiguation (via description) batch_69c75a7a0af88190abf9d1dc4efd8b29 completed March 28, 2026, 4:35 a.m.
Created at: March 27, 2026, 2:28 p.m.