Triple

T7551586
Position Surface form Disambiguated ID Type / Status
Subject 天神 E178545 entity
Predicate 祭祀の中心地 P57618 FINISHED
Object 福岡県太宰府市
福岡県太宰府市は、古代に九州の政治・文化・軍事の拠点として栄え、現在も太宰府天満宮を中心に学問の神を祀る聖地として知られる歴史都市である。
 E671686 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: 福岡県太宰府市 | Statement: [天神, 祭祀の中心地, 福岡県太宰府市]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 福岡県太宰府市
Context triple: [天神, 祭祀の中心地, 福岡県太宰府市]
  • A. Minami-ku, Fukuoka
    Minami-ku, Fukuoka is one of the wards of Fukuoka City in Japan, known as a primarily residential and educational area that hosts several university campuses.
  • B. 豊後大野市
    豊後大野市は、大分県南部に位置し、豊かな自然景観や農業を特色とする市です。
  • C. Higashi-ku, Fukuoka
    Higashi-ku, Fukuoka is one of the seven wards of Fukuoka City in Japan, known for its coastal location, residential areas, and several major educational and research institutions.
  • D. Iizuka, Fukuoka, Japan
    Iizuka is a city in Fukuoka Prefecture on Japan’s Kyushu island, historically known as a coal-mining center and now a regional commercial and educational hub.
  • E. Ōmura, Nagasaki Prefecture
    Ōmura is a city in Nagasaki Prefecture, Japan, known as a regional transportation hub and industrial center that hosts Nagasaki Airport.
  • 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: 福岡県太宰府市
Triple: [天神, 祭祀の中心地, 福岡県太宰府市]
Generated description
福岡県太宰府市は、古代に九州の政治・文化・軍事の拠点として栄え、現在も太宰府天満宮を中心に学問の神を祀る聖地として知られる歴史都市である。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 福岡県太宰府市
Target entity description: 福岡県太宰府市は、古代に九州の政治・文化・軍事の拠点として栄え、現在も太宰府天満宮を中心に学問の神を祀る聖地として知られる歴史都市である。
  • A. Minami-ku, Fukuoka
    Minami-ku, Fukuoka is one of the wards of Fukuoka City in Japan, known as a primarily residential and educational area that hosts several university campuses.
  • B. 豊後大野市
    豊後大野市は、大分県南部に位置し、豊かな自然景観や農業を特色とする市です。
  • C. Higashi-ku, Fukuoka
    Higashi-ku, Fukuoka is one of the seven wards of Fukuoka City in Japan, known for its coastal location, residential areas, and several major educational and research institutions.
  • D. Iizuka, Fukuoka, Japan
    Iizuka is a city in Fukuoka Prefecture on Japan’s Kyushu island, historically known as a coal-mining center and now a regional commercial and educational hub.
  • E. Ōmura, Nagasaki Prefecture
    Ōmura is a city in Nagasaki Prefecture, Japan, known as a regional transportation hub and industrial center that hosts Nagasaki Airport.
  • 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_69c69f2cbe08819088f9eb0c03ef529b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c7017134608190bd51fb2d0ab1ff34 completed March 27, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f33c968819089fd0a2b07b076a3 completed March 28, 2026, 9:59 p.m.
NEDg Description generation batch_69c84fb8382881909f29472230550aff completed March 28, 2026, 10:01 p.m.
NED2 Entity disambiguation (via description) batch_69c850327c8c81908c3e1ccf58b5bd74 completed March 28, 2026, 10:03 p.m.
Created at: March 27, 2026, 3:49 p.m.