Triple

T16055923
Position Surface form Disambiguated ID Type / Status
Subject Mayor of Yokosuka E389479 entity
Predicate seat P75 FINISHED
Object Yokosuka City Hall
Yokosuka City Hall is the main municipal government building and administrative center serving the city of Yokosuka in Kanagawa Prefecture, Japan.
 E1191945 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: Yokosuka City Hall | Statement: [Mayor of Yokosuka, seat, Yokosuka City Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yokosuka City Hall
Context triple: [Mayor of Yokosuka, seat, Yokosuka City Hall]
  • A. Yokohama City Hall
    Yokohama City Hall is the main administrative and governmental building serving the city of Yokohama in Kanagawa Prefecture, Japan.
  • B. Hadano City Hall
    Hadano City Hall is the main municipal government building and administrative center serving the city of Hadano in Kanagawa Prefecture, Japan.
  • C. Nagoya City Hall
    Nagoya City Hall is the central municipal government building and administrative headquarters of the city of Nagoya, Japan.
  • D. Tsuru City Hall
    Tsuru City Hall is the main municipal government building and administrative center serving the city of Tsuru in Japan.
  • E. Wakayama City Hall
    Wakayama City Hall is the main municipal government building and administrative center serving the city of Wakayama in 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: Yokosuka City Hall
Triple: [Mayor of Yokosuka, seat, Yokosuka City Hall]
Generated description
Yokosuka City Hall is the main municipal government building and administrative center serving the city of Yokosuka in Kanagawa Prefecture, Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yokosuka City Hall
Target entity description: Yokosuka City Hall is the main municipal government building and administrative center serving the city of Yokosuka in Kanagawa Prefecture, Japan.
  • A. Yokohama City Hall
    Yokohama City Hall is the main administrative and governmental building serving the city of Yokohama in Kanagawa Prefecture, Japan.
  • B. Hadano City Hall
    Hadano City Hall is the main municipal government building and administrative center serving the city of Hadano in Kanagawa Prefecture, Japan.
  • C. Nagoya City Hall
    Nagoya City Hall is the central municipal government building and administrative headquarters of the city of Nagoya, Japan.
  • D. Tsuru City Hall
    Tsuru City Hall is the main municipal government building and administrative center serving the city of Tsuru in Japan.
  • E. Wakayama City Hall
    Wakayama City Hall is the main municipal government building and administrative center serving the city of Wakayama in 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183744eac8190946c12d58496bf61 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbe49bd0819088e25de082184133 completed May 10, 2026, 1:14 a.m.
NEDg Description generation batch_69ffde320f748190b7abf6ad4cc81ed9 completed May 10, 2026, 1:24 a.m.
NED2 Entity disambiguation (via description) batch_69ffdec2dd18819092882485ae2baabe completed May 10, 2026, 1:26 a.m.
Created at: April 10, 2026, 4:56 a.m.