Triple

T7606907
Position Surface form Disambiguated ID Type / Status
Subject Toyooka E180128 entity
Predicate mergedWith P77 FINISHED
Object Hidaka
Hidaka was a former town in Hyōgo Prefecture, Japan, that later became part of the expanded city of Toyooka through municipal merger.
 E679281 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: Hidaka | Statement: [Toyooka, mergedWith, Hidaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hidaka
Context triple: [Toyooka, mergedWith, Hidaka]
  • A. Aoyama
    Aoyama is an upscale district in Tokyo known for its high-end fashion boutiques, modern architecture, and trendy cafes and galleries.
  • B. Tateyama
    Tateyama is a coastal city in southern Chiba Prefecture, Japan, known for its mild climate, beaches, and views of Mount Fuji across Tokyo Bay.
  • C. Nakadake
    Nakadake is one of the principal volcanic peaks of the active Sakurajima volcano in Kagoshima Prefecture, Japan.
  • D. Nakadake
    Nakadake is the most active central crater of Japan’s Mount Aso volcano, known for its frequent eruptions and acidic crater lake.
  • E. Ōyama
    Ōyama is a Japanese surname borne by various notable figures in Japan’s military, political, and cultural history.
  • 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: Hidaka
Triple: [Toyooka, mergedWith, Hidaka]
Generated description
Hidaka was a former town in Hyōgo Prefecture, Japan, that later became part of the expanded city of Toyooka through municipal merger.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hidaka
Target entity description: Hidaka was a former town in Hyōgo Prefecture, Japan, that later became part of the expanded city of Toyooka through municipal merger.
  • A. Aoyama
    Aoyama is an upscale district in Tokyo known for its high-end fashion boutiques, modern architecture, and trendy cafes and galleries.
  • B. Tateyama
    Tateyama is a coastal city in southern Chiba Prefecture, Japan, known for its mild climate, beaches, and views of Mount Fuji across Tokyo Bay.
  • C. Nakadake
    Nakadake is one of the principal volcanic peaks of the active Sakurajima volcano in Kagoshima Prefecture, Japan.
  • D. Nakadake
    Nakadake is the most active central crater of Japan’s Mount Aso volcano, known for its frequent eruptions and acidic crater lake.
  • E. Ōyama
    Ōyama is a Japanese surname borne by various notable figures in Japan’s military, political, and cultural history.
  • 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_69c69f3567008190ab01d2ca7b53584a completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9fe10408190b1c12bb8f911cea8 completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89a9dd42c8190bd03e960ebad8df9 completed March 29, 2026, 3:21 a.m.
NEDg Description generation batch_69c89b5b42dc8190972569b510d2efcd completed March 29, 2026, 3:24 a.m.
NED2 Entity disambiguation (via description) batch_69c89c56d9688190bd14badc319f9c44 completed March 29, 2026, 3:28 a.m.
Created at: March 27, 2026, 3:54 p.m.