Triple

T10014948
Position Surface form Disambiguated ID Type / Status
Subject Aichi Prefecture E199464 entity
Predicate containsCity P294 FINISHED
Object Kōta
Kōta is a town in central Japan known for its manufacturing industries and location within Aichi Prefecture.
E947712 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: Kōta | Statement: [Aichi Prefecture, containsCity, Kōta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kōta
Context triple: [Aichi Prefecture, containsCity, Kōta]
  • A. Kōtaishi
    Kōtaishi is the formal Japanese title used to designate the heir apparent to the Chrysanthemum Throne.
  • B. Kamiyama
    Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
  • C. Nagashima
    Nagashima is a Japanese surname most famously associated with legendary baseball player and manager Shigeo Nagashima.
  • D. Takashima
    Takashima is a lakeside city in western Shiga Prefecture, Japan, known for its scenic location along Lake Biwa and surrounding mountains.
  • E. Takashima
    Takashima is a prominent commercial and waterfront district in Nishi-ku, Yokohama, known for major shopping complexes and modern urban development.
  • 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: Kōta
Triple: [Aichi Prefecture, containsCity, Kōta]
Generated description
Kōta is a town in central Japan known for its manufacturing industries and location within Aichi Prefecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kōta
Target entity description: Kōta is a town in central Japan known for its manufacturing industries and location within Aichi Prefecture.
  • A. Kōtaishi
    Kōtaishi is the formal Japanese title used to designate the heir apparent to the Chrysanthemum Throne.
  • B. Kamiyama
    Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
  • C. Nagashima
    Nagashima is a Japanese surname most famously associated with legendary baseball player and manager Shigeo Nagashima.
  • D. Takashima
    Takashima is a lakeside city in western Shiga Prefecture, Japan, known for its scenic location along Lake Biwa and surrounding mountains.
  • E. Takashima
    Takashima is a prominent commercial and waterfront district in Nishi-ku, Yokohama, known for major shopping complexes and modern urban development.
  • 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_69ca8315a1a08190ab310f25620f362b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd49b19c8190b429e3533d072648 completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69f12f646ec88190ab4745c52798b599 completed April 28, 2026, 10:06 p.m.
NEDg Description generation batch_69f14e879aa88190a95f13e23dd346f4 completed April 29, 2026, 12:19 a.m.
NED2 Entity disambiguation (via description) batch_69f156fa5cc48190a43c1d2e5df346fe completed April 29, 2026, 12:55 a.m.
Created at: March 30, 2026, 8:52 p.m.