Triple

T26335967

Position	Surface form	Disambiguated ID	Type / Status
Subject	Chongchon River	`E662520`	entity
Predicate	hasNameInKorean	`P17869`	FINISHED
Object	청천강 청천강은 북한 서부를 흐르며 황해로 유입되는 주요 하천으로, 주변 지역의 농업과 산업에 중요한 역할을 하는 강이다.	`E1828937`	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: 청천강 | Statement: [Chongchon River, hasNameInKorean, 청천강]

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: 청천강
Triple: [Chongchon River, hasNameInKorean, 청천강]

Generated description

청천강은 북한 서부를 흐르며 황해로 유입되는 주요 하천으로, 주변 지역의 농업과 산업에 중요한 역할을 하는 강이다.

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_69ee81304194819092e20e0fae3aee07`	completed	April 26, 2026, 9:18 p.m.
NER	Named-entity recognition	`batch_69f60f6cf3208190816114685e00e96c`	completed	May 2, 2026, 2:51 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a1cc34da4ac8190a252d8f935c07e65`	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 26, 2026, 10:36 p.m.