Triple

T6307795
Position Surface form Disambiguated ID Type / Status
Subject Ōiso E141421 entity
Predicate borderedBy P224 FINISHED
Object Hiratsuka
Hiratsuka is a coastal city in Kanagawa Prefecture, Japan, known for its beaches, manufacturing industry, and the annual Tanabata Festival.
 E584741 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: Hiratsuka | Statement: [Ōiso, borderedBy, Hiratsuka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hiratsuka
Context triple: [Ōiso, borderedBy, Hiratsuka]
  • A. Hirano
    Hirano is a Japanese surname borne by various notable individuals across fields such as music, sports, and entertainment.
  • B. Ichikawa
    Ichikawa is a city in Chiba Prefecture, Japan, located just east of Tokyo and known as a residential and commercial hub within the Greater Tokyo Area.
  • C. Kitasato
    Kitasato is a Japanese surname most notably associated with pioneering bacteriologist Shibasaburo Kitasato.
  • D. Satō
    Satō is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and other fields.
  • E. Murayama
    Murayama is a Japanese surname borne by various notable individuals across fields such as politics, science, and the arts.
  • 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: Hiratsuka
Triple: [Ōiso, borderedBy, Hiratsuka]
Generated description
Hiratsuka is a coastal city in Kanagawa Prefecture, Japan, known for its beaches, manufacturing industry, and the annual Tanabata Festival.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hiratsuka
Target entity description: Hiratsuka is a coastal city in Kanagawa Prefecture, Japan, known for its beaches, manufacturing industry, and the annual Tanabata Festival.
  • A. Hirano
    Hirano is a Japanese surname borne by various notable individuals across fields such as music, sports, and entertainment.
  • B. Ichikawa
    Ichikawa is a city in Chiba Prefecture, Japan, located just east of Tokyo and known as a residential and commercial hub within the Greater Tokyo Area.
  • C. Kitasato
    Kitasato is a Japanese surname most notably associated with pioneering bacteriologist Shibasaburo Kitasato.
  • D. Satō
    Satō is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and other fields.
  • E. Murayama
    Murayama is a Japanese surname borne by various notable individuals across fields such as politics, science, and the arts.
  • 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_69c008d00efc8190a36c05b4b4a3bf4b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0647d38008190abaf96632712ddf9 completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e45330ec8190945682962ae823b0 completed March 27, 2026, 1:58 a.m.
NEDg Description generation batch_69c5ed89dbc88190abda05d9d06fb7b5 completed March 27, 2026, 2:38 a.m.
NED2 Entity disambiguation (via description) batch_69c5ee08cc488190baaafc1e679f83aa completed March 27, 2026, 2:40 a.m.
Created at: March 22, 2026, 4:28 p.m.