Triple

T28648445

Position	Surface form	Disambiguated ID	Type / Status
Subject	満州国国務院総務庁次長	`E725125`	entity
Predicate	reportsTo	`P258`	FINISHED
Object	満州国国務院総務庁長満州国国務院総務庁長は、満州国政府の行政中枢機関である国務院総務庁を統括し、その運営と行政事務全般を指揮した最高責任者の官職である。	`E1829113`	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: 満州国国務院総務庁長 | Statement: [満州国国務院総務庁次長, reportsTo, 満州国国務院総務庁長]

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: 満州国国務院総務庁長
Triple: [満州国国務院総務庁次長, reportsTo, 満州国国務院総務庁長]

Generated description

満州国国務院総務庁長は、満州国政府の行政中枢機関である国務院総務庁を統括し、その運営と行政事務全般を指揮した最高責任者の官職である。

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.