Triple

T30252973

Position	Surface form	Disambiguated ID	Type / Status
Subject	금정산	`E769257`	entity
Predicate	mountainRange	`P648`	FINISHED
Object	낙동정맥 낙동정맥은 부산 금정산을 비롯한 여러 산들을 이으며 한반도 동남부를 남북으로 달리는 주요 산줄기이다.	`E1905856`	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: 낙동정맥 | Statement: [금정산, mountainRange, 낙동정맥]

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: 낙동정맥
Triple: [금정산, mountainRange, 낙동정맥]

Generated description

낙동정맥은 부산 금정산을 비롯한 여러 산들을 이으며 한반도 동남부를 남북으로 달리는 주요 산줄기이다.

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_69f224831dc08190b2e569b987264057`	completed	April 29, 2026, 3:32 p.m.
NER	Named-entity recognition	`batch_69f6807d23cc819094279e32d55ea1b8`	completed	May 2, 2026, 10:53 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a2764576dc081909ed06914644d7b59`	completed	June 9, 2026, 12:54 a.m.
NEDg	Description generation	`batch_6a276576a8088190acca28b607d0fb41`	completed	June 9, 2026, 12:59 a.m.
NED2	Entity disambiguation (via description)	`batch_6a2766aef0c08190ad736595abed58f3`	completed	June 9, 2026, 1:04 a.m.

Created at: April 29, 2026, 7:40 p.m.