Triple

T15335381
Position Surface form Disambiguated ID Type / Status
Subject Gyoda E366650 entity
Predicate hasJapaneseName P9882 FINISHED
Object 行田市
行田市は、埼玉県北部に位置し、古代の埼玉古墳群や足袋産業の歴史で知られる市です。
E1152369 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: 行田市 | Statement: [Gyoda, hasJapaneseName, 行田市]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 行田市
Context triple: [Gyoda, hasJapaneseName, 行田市]
  • A. 永田町
    永田町 is a district in Tokyo’s Chiyoda Ward that serves as Japan’s political center, housing key government institutions and major party headquarters.
  • B. 交野市
    交野市は、大阪府北河内地域に位置する自然豊かな住宅都市で、星田妙見宮や天野川などで知られる市です。
  • C. 稲城市
    稲城市 is a suburban city in western Tokyo, Japan, known for its residential neighborhoods, greenery, and role as a commuter town for central Tokyo.
  • D. 野洲市
    野洲市 is a city located in Shiga Prefecture, Japan, known for its lakeside setting near Lake Biwa and a mix of residential, agricultural, and light industrial areas.
  • E. 成田市
    成田市 is a city in Chiba Prefecture, Japan, best known internationally as the location of Narita International Airport, one of the Tokyo area's main gateways.
  • 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: 行田市
Triple: [Gyoda, hasJapaneseName, 行田市]
Generated description
行田市は、埼玉県北部に位置し、古代の埼玉古墳群や足袋産業の歴史で知られる市です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 行田市
Target entity description: 行田市は、埼玉県北部に位置し、古代の埼玉古墳群や足袋産業の歴史で知られる市です。
  • A. 永田町
    永田町 is a district in Tokyo’s Chiyoda Ward that serves as Japan’s political center, housing key government institutions and major party headquarters.
  • B. 交野市
    交野市は、大阪府北河内地域に位置する自然豊かな住宅都市で、星田妙見宮や天野川などで知られる市です。
  • C. 稲城市
    稲城市 is a suburban city in western Tokyo, Japan, known for its residential neighborhoods, greenery, and role as a commuter town for central Tokyo.
  • D. 野洲市
    野洲市 is a city located in Shiga Prefecture, Japan, known for its lakeside setting near Lake Biwa and a mix of residential, agricultural, and light industrial areas.
  • E. 成田市
    成田市 is a city in Chiba Prefecture, Japan, best known internationally as the location of Narita International Airport, one of the Tokyo area's main gateways.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e03c5f081908e4d14dbdbc7f7a6 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01ee7480819080133a9910a2bf52 completed May 9, 2026, 9:44 a.m.
NEDg Description generation batch_69ff05fbf6e481909727758ae2699bad completed May 9, 2026, 10:01 a.m.
NED2 Entity disambiguation (via description) batch_69ff06e098cc8190ab67143071bca1dc completed May 9, 2026, 10:05 a.m.
Created at: April 10, 2026, 3:17 a.m.