Triple

T7850203
Position Surface form Disambiguated ID Type / Status
Subject Kitakyushu E182027 entity
Predicate nativeName P15 FINISHED
Object 北九州市
北九州市は、福岡県北部に位置し、工業と港湾を中心に発展してきた政令指定都市です。
E699956 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: 北九州市 | Statement: [Kitakyushu, nativeName, 北九州市]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 北九州市
Context triple: [Kitakyushu, nativeName, 北九州市]
  • A. 熊本市
    熊本市 is the capital and largest city of Kumamoto Prefecture on Japan’s Kyushu island, known for its historic Kumamoto Castle and rich samurai-era heritage.
  • B. 柏原市
    柏原市は、大阪府南東部に位置し、歴史ある寺社やぶどう栽培などで知られる中規模の都市です。
  • C. 木津川市
    木津川市は、京都府南部に位置し、奈良県に隣接する住宅都市・歴史観光地として発展している市です。
  • D. 福知山市
    福知山市 is a city in northern Kyoto Prefecture, Japan, known as a regional commercial and transportation hub with a mix of historical sites and rural landscapes.
  • E. 川越市
    川越市 is a historic city in Saitama Prefecture, Japan, famed for its well-preserved Edo-period streetscapes and traditional warehouse-style buildings that have earned it the nickname "Little Edo."
  • 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: 北九州市
Triple: [Kitakyushu, nativeName, 北九州市]
Generated description
北九州市は、福岡県北部に位置し、工業と港湾を中心に発展してきた政令指定都市です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 北九州市
Target entity description: 北九州市は、福岡県北部に位置し、工業と港湾を中心に発展してきた政令指定都市です。
  • A. 熊本市
    熊本市 is the capital and largest city of Kumamoto Prefecture on Japan’s Kyushu island, known for its historic Kumamoto Castle and rich samurai-era heritage.
  • B. 柏原市
    柏原市は、大阪府南東部に位置し、歴史ある寺社やぶどう栽培などで知られる中規模の都市です。
  • C. 木津川市
    木津川市は、京都府南部に位置し、奈良県に隣接する住宅都市・歴史観光地として発展している市です。
  • D. 福知山市
    福知山市 is a city in northern Kyoto Prefecture, Japan, known as a regional commercial and transportation hub with a mix of historical sites and rural landscapes.
  • E. 川越市
    川越市 is a historic city in Saitama Prefecture, Japan, famed for its well-preserved Edo-period streetscapes and traditional warehouse-style buildings that have earned it the nickname "Little Edo."
  • 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_69ca82869ee08190b8f9040dbc2c0467 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb18e989ac819090e459b77d8932d3 completed March 31, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b0515c08190b866a39749d54849 completed March 31, 2026, 5:26 a.m.
NEDg Description generation batch_69cb762eab0881909c5035b3086dfdd9 completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbb801cc0c8190864d28e199eb5e67 completed March 31, 2026, 12:03 p.m.
Created at: March 30, 2026, 4:50 p.m.