Triple

T3803509
Position Surface form Disambiguated ID Type / Status
Subject Hadano E91746 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Matsuda
Matsuda is a small town in Kanagawa Prefecture, Japan, known for its scenic views of Mount Fuji and seasonal flower festivals.
 E491844 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: Matsuda | Statement: [Hadano, hasNeighboringMunicipality, Matsuda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Matsuda
Context triple: [Hadano, hasNeighboringMunicipality, Matsuda]
  • A. Wakatsuki
    Wakatsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk during late-war Pacific naval operations.
  • B. Kawaguchi
    Kawaguchi is a major commuter city in the Greater Tokyo area of Japan, located just north of Tokyo in Saitama Prefecture.
  • C. Moriyama
    Moriyama is a Japanese city located in Shiga Prefecture, known for its position near Lake Biwa and its blend of residential areas and historical sites.
  • D. Murayama
    Murayama is a Japanese surname borne by various notable individuals across fields such as politics, science, and the arts.
  • E. Takatsuki
    Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • 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: Matsuda
Triple: [Hadano, hasNeighboringMunicipality, Matsuda]
Generated description
Matsuda is a small town in Kanagawa Prefecture, Japan, known for its scenic views of Mount Fuji and seasonal flower festivals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Matsuda
Target entity description: Matsuda is a small town in Kanagawa Prefecture, Japan, known for its scenic views of Mount Fuji and seasonal flower festivals.
  • A. Wakatsuki
    Wakatsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk during late-war Pacific naval operations.
  • B. Kawaguchi
    Kawaguchi is a major commuter city in the Greater Tokyo area of Japan, located just north of Tokyo in Saitama Prefecture.
  • C. Moriyama
    Moriyama is a Japanese city located in Shiga Prefecture, known for its position near Lake Biwa and its blend of residential areas and historical sites.
  • D. Murayama
    Murayama is a Japanese surname borne by various notable individuals across fields such as politics, science, and the arts.
  • E. Takatsuki
    Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • 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_69aed96354f48190a768966d6bd19b04 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee7bacf2881908198a77063d15d16 completed March 9, 2026, 3:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb0b17e288190b6014ad9c31a3b9f completed March 21, 2026, 2:52 p.m.
NEDg Description generation batch_69beb16170408190a04dded7fcc512d8 completed March 21, 2026, 2:55 p.m.
NED2 Entity disambiguation (via description) batch_69beb1c3bc5c8190b8a58baf2cd1ad44 completed March 21, 2026, 2:57 p.m.
Created at: March 9, 2026, 3:15 p.m.