Triple

T28648439

Position	Surface form	Disambiguated ID	Type / Status
Subject	満州国国務院総務庁次長	`E725125`	entity
Predicate	partOf	`P40`	FINISHED
Object	満州国政府満州国政府は、1932年から1945年まで日本の強い影響下で中国東北部に存在した傀儡国家・満州国を統治した中央政府機構である。	`E1829112`	NE FINISHED

How this triple was built (2 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: 満州国政府 | Statement: [満州国国務院総務庁次長, partOf, 満州国政府]

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: 満州国政府
Triple: [満州国国務院総務庁次長, partOf, 満州国政府]

Generated description

満州国政府は、1932年から1945年まで日本の強い影響下で中国東北部に存在した傀儡国家・満州国を統治した中央政府機構である。

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_69f01d8423888190bd2f4e52605bf261`	completed	April 28, 2026, 2:37 a.m.
NER	Named-entity recognition	`batch_69f652e2c6648190835054ea46026fc1`	completed	May 2, 2026, 7:39 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a1cc387498c81908d6f49780515ddca`	completed	May 31, 2026, 11:25 p.m.
NEDg	Description generation	`batch_6a1cc42a1b08819092125b1f3d09f2ca`	completed	May 31, 2026, 11:28 p.m.
NED2	Entity disambiguation (via description)	`batch_6a1cc4e253288190bb4e761d17423cbf`	completed	May 31, 2026, 11:31 p.m.

Created at: April 28, 2026, 4:50 a.m.