Triple

T16409873
Position Surface form Disambiguated ID Type / Status
Subject Kumagaya E398531 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Honjō
Honjō is a city in Saitama Prefecture, Japan, known as a regional commercial and residential center on the northern Kanto Plain.
 E1520731 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: Honjō | Statement: [Kumagaya, neighboringMunicipality, Honjō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Honjō
Context triple: [Kumagaya, neighboringMunicipality, Honjō]
  • A. Tokushima
    Tokushima is a coastal city on Japan’s Shikoku Island known for its annual Awa Odori dance festival and role as a regional cultural and economic center.
  • B. Hitoyoshi
    Hitoyoshi is a historic riverside city in southern Japan known for its hot springs, traditional townscape, and scenic Kuma River.
  • C. Yurihonjō
    Yurihonjō is a coastal city in Akita Prefecture, Japan, known for its rice farming, sake production, and scenic Sea of Japan shoreline.
  • D. Kamishihoro
    Kamishihoro is a town in Hokkaido, Japan, known for its natural scenery, hot springs, and the historic Taushubetsu River Bridge within the Daisetsuzan mountain region.
  • E. Miyakonojō
    Miyakonojō is a city in Miyazaki Prefecture on Japan’s Kyushu island, known for its agriculture and livestock production.
  • 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: Honjō
Triple: [Kumagaya, neighboringMunicipality, Honjō]
Generated description
Honjō is a city in Saitama Prefecture, Japan, known as a regional commercial and residential center on the northern Kanto Plain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Honjō
Target entity description: Honjō is a city in Saitama Prefecture, Japan, known as a regional commercial and residential center on the northern Kanto Plain.
  • A. Tokushima
    Tokushima is a coastal city on Japan’s Shikoku Island known for its annual Awa Odori dance festival and role as a regional cultural and economic center.
  • B. Hitoyoshi
    Hitoyoshi is a historic riverside city in southern Japan known for its hot springs, traditional townscape, and scenic Kuma River.
  • C. Yurihonjō
    Yurihonjō is a coastal city in Akita Prefecture, Japan, known for its rice farming, sake production, and scenic Sea of Japan shoreline.
  • D. Kamishihoro
    Kamishihoro is a town in Hokkaido, Japan, known for its natural scenery, hot springs, and the historic Taushubetsu River Bridge within the Daisetsuzan mountain region.
  • E. Miyakonojō
    Miyakonojō is a city in Miyazaki Prefecture on Japan’s Kyushu island, known for its agriculture and livestock production.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32871bce08190addd637413473c87 completed April 18, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a8f01d6e4819096dcf105cf48bee6 completed May 18, 2026, 4:01 a.m.
NEDg Description generation batch_6a0a9374c1508190bd4d51b52fa55ede completed May 18, 2026, 4:20 a.m.
NED2 Entity disambiguation (via description) batch_6a0a93f3f8348190b9040d1c5cbc5a18 completed May 18, 2026, 4:22 a.m.
Created at: April 10, 2026, 5:09 a.m.