Triple

T21519943
Position Surface form Disambiguated ID Type / Status
Subject 都筑郡 E530945 entity
Predicate 名称のローマ字表記 P71490 FINISHED
Object Tsuzuki District
Tsuzuki District was a former administrative district in Kanagawa Prefecture, Japan, whose area now largely corresponds to parts of modern Yokohama.
 E1773483 NE FINISHED

How this triple was built (3 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: Tsuzuki District | Statement: [都筑郡, 名称のローマ字表記, Tsuzuki District]
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: Tsuzuki District
Triple: [都筑郡, 名称のローマ字表記, Tsuzuki District]
Generated description
Tsuzuki District was a former administrative district in Kanagawa Prefecture, Japan, whose area now largely corresponds to parts of modern Yokohama.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: 名称のローマ字表記
Context triple: [都筑郡, 名称のローマ字表記, Tsuzuki District]
  • A. officialNameInRomaji chosen
    Indicates that an entity’s official name is written using the Roman alphabet (romaji) representation.
  • B. nameInJapaneseKana
    Indicates that an entity’s name is written or represented using Japanese kana characters.
  • C. hangulNameRomanized
    Indicates that an entity’s Korean Hangul name is represented in its romanized (Latin alphabet) form.
  • D. hasNameInJapanese
    Indicates that an entity is associated with a specific name expressed in the Japanese language.
  • E. nameInMcCuneReischauer
    Indicates that an entity’s name is represented using the McCune–Reischauer romanization system.
  • F. None of above.

Provenance (6 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_69e0c45d95a081908e7962ad215da746 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee884af0f08190bc1f3d70e57a325d completed April 26, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12b209a2888190ab97a5f521f17322 completed May 24, 2026, 8:08 a.m.
NEDg Description generation batch_6a12b4a525b88190bb16afa9a4ff84c7 completed May 24, 2026, 8:19 a.m.
NED2 Entity disambiguation (via description) batch_6a12b545d37881909ea7fd3c96e8272b completed May 24, 2026, 8:22 a.m.
PD Predicate disambiguation batch_69e6320043bc81909417c41a718652ba completed April 20, 2026, 2:02 p.m.
Created at: April 16, 2026, 6:26 p.m.