Triple

T15525325
Position Surface form Disambiguated ID Type / Status
Subject Ōshū, Iwate, Japan E369067 entity
Predicate hasJapaneseName P9882 FINISHED
Object 奥州市
奥州市は、日本の岩手県南部に位置し、歴史的な遺跡や農業が盛んな内陸の市です。
E1161873 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: 奥州市 | Statement: [Ōshū, Iwate, Japan, hasJapaneseName, 奥州市]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 奥州市
Context triple: [Ōshū, Iwate, Japan, hasJapaneseName, 奥州市]
  • A. 仙台市
    仙台市は、東北地方最大の都市であり、宮城県の県庁所在地として経済・文化・教育の中心地となっている都市です。
  • B. 前橋市
    前橋市は、群馬県の県庁所在地であり、利根川沿いに位置する内陸工業都市です。
  • 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. 御所市
    御所市 is a small city in Nara Prefecture, Japan, known for its historical sites, traditional rural scenery, and proximity to the Kongo and Katsuragi mountain ranges.
  • 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: 奥州市
Triple: [Ōshū, Iwate, Japan, hasJapaneseName, 奥州市]
Generated description
奥州市は、日本の岩手県南部に位置し、歴史的な遺跡や農業が盛んな内陸の市です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 奥州市
Target entity description: 奥州市は、日本の岩手県南部に位置し、歴史的な遺跡や農業が盛んな内陸の市です。
  • A. 仙台市
    仙台市は、東北地方最大の都市であり、宮城県の県庁所在地として経済・文化・教育の中心地となっている都市です。
  • B. 前橋市
    前橋市は、群馬県の県庁所在地であり、利根川沿いに位置する内陸工業都市です。
  • 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. 御所市
    御所市 is a small city in Nara Prefecture, Japan, known for its historical sites, traditional rural scenery, and proximity to the Kongo and Katsuragi mountain ranges.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04145178481909fb0339a79d4239e completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d5706948190a1c0f466f7ef8857 completed May 9, 2026, 1:57 p.m.
NEDg Description generation batch_69ff3e5643088190a9b001ef815ddd3a completed May 9, 2026, 2:01 p.m.
NED2 Entity disambiguation (via description) batch_69ff3f4456f88190b7fc9b853b0155e4 completed May 9, 2026, 2:05 p.m.
Created at: April 10, 2026, 4:05 a.m.