Triple

T23725721
Position Surface form Disambiguated ID Type / Status
Subject Sino–Korean Friendship Bridge E586267 entity
Predicate hasRailwayLine P848 FINISHED
Object Pyongui Line
The Pyongui Line is a major North Korean railway route that connects the capital Pyongyang with the Chinese border city of Dandong, serving as a key corridor for international trade and transport between the two countries.
E1608767 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: Pyongui Line | Statement: [Sino–Korean Friendship Bridge, hasRailwayLine, Pyongui Line]
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: Pyongui Line
Triple: [Sino–Korean Friendship Bridge, hasRailwayLine, Pyongui Line]
Generated description
The Pyongui Line is a major North Korean railway route that connects the capital Pyongyang with the Chinese border city of Dandong, serving as a key corridor for international trade and transport between the two countries.

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_69e24906fb108190a6898751e46bdc11 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b914adc08190b339c7f83f1536d7 completed April 29, 2026, 7:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f7602273081908f33fe5d18456277 completed May 21, 2026, 9:15 p.m.
NEDg Description generation batch_6a0f76f167d08190a9e4d3abc3cc4545 completed May 21, 2026, 9:19 p.m.
NED2 Entity disambiguation (via description) batch_6a0f78c5e978819086792ca6d9835ff9 completed May 21, 2026, 9:27 p.m.
Created at: April 17, 2026, 7:08 p.m.