Triple

T9209934
Position Surface form Disambiguated ID Type / Status
Subject Nagasaki Prefecture E221086 entity
Predicate hasCity P316 FINISHED
Object Goto
Goto is a city located on the Gotō Islands in Nagasaki Prefecture, Japan, known for its scenic coastal landscapes and historic Christian sites.
E785268 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: Goto | Statement: [Nagasaki Prefecture, hasCity, Goto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goto
Context triple: [Nagasaki Prefecture, hasCity, Goto]
  • A. Goes
    Goes is a historic city and municipality in the Dutch province of Zeeland, known for its medieval center and regional commercial significance.
  • B. Go!
    "Go!" is a high-energy song featured on the album "Be," known for its upbeat tempo and motivational tone.
  • C. Gonet
    Gonet is a surname most notably associated with Scottish actress Stella Gonet.
  • D. Geita
    Geita is a town in northwestern Tanzania that serves as an administrative and commercial center for the surrounding gold-mining region.
  • E. Goh
    Goh is a surname and given name commonly found in East and Southeast Asia, often representing a romanization of several different Chinese surnames.
  • 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: Goto
Triple: [Nagasaki Prefecture, hasCity, Goto]
Generated description
Goto is a city located on the Gotō Islands in Nagasaki Prefecture, Japan, known for its scenic coastal landscapes and historic Christian sites.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Goto
Target entity description: Goto is a city located on the Gotō Islands in Nagasaki Prefecture, Japan, known for its scenic coastal landscapes and historic Christian sites.
  • A. Goes
    Goes is a historic city and municipality in the Dutch province of Zeeland, known for its medieval center and regional commercial significance.
  • B. Go!
    "Go!" is a high-energy song featured on the album "Be," known for its upbeat tempo and motivational tone.
  • C. Gonet
    Gonet is a surname most notably associated with Scottish actress Stella Gonet.
  • D. Geita
    Geita is a town in northwestern Tanzania that serves as an administrative and commercial center for the surrounding gold-mining region.
  • E. Goh
    Goh is a surname and given name commonly found in East and Southeast Asia, often representing a romanization of several different Chinese surnames.
  • 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_69ca83e9d0e081908bdb71097201a06c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd9b3c8c081909a688ce699928fc0 completed April 1, 2026, 8:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d065efcb64819097d4624bd9e423d2 completed April 4, 2026, 1:14 a.m.
NEDg Description generation batch_69d06770ccf08190b00bf35c16a80071 completed April 4, 2026, 1:20 a.m.
NED2 Entity disambiguation (via description) batch_69d06864b8c48190b8e08ab9c1c85c9a completed April 4, 2026, 1:24 a.m.
Created at: March 30, 2026, 7:26 p.m.