Triple

T7959976
Position Surface form Disambiguated ID Type / Status
Subject Mito, Ibaraki, Japan E184836 entity
Predicate isSeatOf P62 FINISHED
Object Mito City Hall
Mito City Hall is the main municipal government building and administrative center serving the city of Mito in Ibaraki Prefecture, Japan.
E704665 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: Mito City Hall | Statement: [Mito, Ibaraki, Japan, isSeatOf, Mito City Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mito City Hall
Context triple: [Mito, Ibaraki, Japan, isSeatOf, Mito City Hall]
  • A. Mishima City Hall
    Mishima City Hall is the main municipal government building and administrative center serving the city of Mishima in Shizuoka 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. Minoh City Hall
    Minoh City Hall is the main municipal government building and administrative center serving the city of Minoh in Osaka Prefecture, Japan.
  • D. Minato City Hall
    Minato City Hall is the main administrative government building serving Tokyo’s Minato ward.
  • E. Itami City Hall
    Itami City Hall is the main municipal government building and administrative center serving the city of Itami in Hyōgo 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: Mito City Hall
Triple: [Mito, Ibaraki, Japan, isSeatOf, Mito City Hall]
Generated description
Mito City Hall is the main municipal government building and administrative center serving the city of Mito in Ibaraki Prefecture, Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mito City Hall
Target entity description: Mito City Hall is the main municipal government building and administrative center serving the city of Mito in Ibaraki Prefecture, Japan.
  • A. Mishima City Hall
    Mishima City Hall is the main municipal government building and administrative center serving the city of Mishima in Shizuoka 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. Minoh City Hall
    Minoh City Hall is the main municipal government building and administrative center serving the city of Minoh in Osaka Prefecture, Japan.
  • D. Minato City Hall
    Minato City Hall is the main administrative government building serving Tokyo’s Minato ward.
  • E. Itami City Hall
    Itami City Hall is the main municipal government building and administrative center serving the city of Itami in Hyōgo 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_69ca8293a2388190aace944d7ed9c0c0 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b8136448190890f007fb4fb7625 completed March 31, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe084d9348190b4102fbdfedca297 completed March 31, 2026, 2:56 p.m.
NEDg Description generation batch_69cc46c11e68819087f5083bb85ec7ab completed March 31, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69cc47fa1524819089ef5b3f8bf7f670 completed March 31, 2026, 10:17 p.m.
Created at: March 30, 2026, 5:12 p.m.