Triple

T18381672
Position Surface form Disambiguated ID Type / Status
Subject Tottori Prefecture E446464 entity
Predicate administrativeCenter P1474 FINISHED
Object Tottori City Hall
Tottori City Hall is the main municipal government building and administrative headquarters of Tottori City in Japan’s Tottori Prefecture.
 E1321545 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: Tottori City Hall | Statement: [Tottori Prefecture, administrativeCenter, Tottori City Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tottori City Hall
Context triple: [Tottori Prefecture, administrativeCenter, Tottori City Hall]
  • A. Tsuru City Hall
    Tsuru City Hall is the main municipal government building and administrative center serving the city of Tsuru in Japan.
  • B. Wakayama City Hall
    Wakayama City Hall is the main municipal government building and administrative center serving the city of Wakayama in Japan.
  • C. Otaru City Hall
    Otaru City Hall is the main municipal government building and administrative center serving the city of Otaru in Hokkaido, Japan.
  • D. Akita City Hall
    Akita City Hall is the main municipal government building and administrative center serving the city of Akita in 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: Tottori City Hall
Triple: [Tottori Prefecture, administrativeCenter, Tottori City Hall]
Generated description
Tottori City Hall is the main municipal government building and administrative headquarters of Tottori City in Japan’s Tottori Prefecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tottori City Hall
Target entity description: Tottori City Hall is the main municipal government building and administrative headquarters of Tottori City in Japan’s Tottori Prefecture.
  • A. Tsuru City Hall
    Tsuru City Hall is the main municipal government building and administrative center serving the city of Tsuru in Japan.
  • B. Wakayama City Hall
    Wakayama City Hall is the main municipal government building and administrative center serving the city of Wakayama in Japan.
  • C. Otaru City Hall
    Otaru City Hall is the main municipal government building and administrative center serving the city of Otaru in Hokkaido, Japan.
  • D. Akita City Hall
    Akita City Hall is the main municipal government building and administrative center serving the city of Akita in 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e5179b60f88190adf39e85375bd11b completed April 19, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03d782cb54819091b847cdeb98ed5c completed May 13, 2026, 1:44 a.m.
NEDg Description generation batch_6a03d8adc00c81908ca0a4825a2bcea1 completed May 13, 2026, 1:49 a.m.
NED2 Entity disambiguation (via description) batch_6a03da59c1b081908d9488233c611586 completed May 13, 2026, 1:56 a.m.
Created at: April 10, 2026, 10:45 a.m.