Triple

T13081454
Position Surface form Disambiguated ID Type / Status
Subject Ōmihachiman E310214 entity
Predicate hasNameInJapanese P28734 FINISHED
Object 近江八幡市
近江八幡市 is a historic city in Shiga Prefecture, Japan, known for its well-preserved traditional townscape, canals, and association with the merchant culture of the Ōmi region.
E1020614 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: 近江八幡市 | Statement: [Ōmihachiman, hasNameInJapanese, 近江八幡市]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 近江八幡市
Context triple: [Ōmihachiman, hasNameInJapanese, 近江八幡市]
  • A. 八幡市
    八幡市は、京都府南部に位置し、石清水八幡宮などで知られる歴史と自然に恵まれた都市です。
  • B. 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。
  • C. 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."
  • D. 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。
  • E. 枚方市
    枚方市は、大阪府北東部に位置し、淀川沿いに広がる住宅都市兼商業都市として発展している市です。
  • 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: 近江八幡市
Triple: [Ōmihachiman, hasNameInJapanese, 近江八幡市]
Generated description
近江八幡市 is a historic city in Shiga Prefecture, Japan, known for its well-preserved traditional townscape, canals, and association with the merchant culture of the Ōmi region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 近江八幡市
Target entity description: 近江八幡市 is a historic city in Shiga Prefecture, Japan, known for its well-preserved traditional townscape, canals, and association with the merchant culture of the Ōmi region.
  • A. 八幡市
    八幡市は、京都府南部に位置し、石清水八幡宮などで知られる歴史と自然に恵まれた都市です。
  • B. 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。
  • C. 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."
  • D. 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。
  • E. 枚方市
    枚方市は、大阪府北東部に位置し、淀川沿いに広がる住宅都市兼商業都市として発展している市です。
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d9811add9881908a92186dab5b6d48 completed April 10, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d60c603881909dff49f4356042b5 completed May 3, 2026, 4:58 a.m.
NEDg Description generation batch_69f6d86562f88190afd1fe49c4632e09 completed May 3, 2026, 5:08 a.m.
NED2 Entity disambiguation (via description) batch_69f6d9486d748190bc5e2927bc36993e completed May 3, 2026, 5:12 a.m.
Created at: April 9, 2026, 9:01 p.m.