Triple

T28193923
Position Surface form Disambiguated ID Type / Status
Subject Suseo E716386 entity
Predicate railCorridor P848 FINISHED
Object Suseo–Busan high-speed corridor
The Suseo–Busan high-speed corridor is a major South Korean high-speed rail line that connects southeastern Seoul to the city of Busan, enhancing capacity and reducing travel times on the country’s primary intercity route.
 E1832478 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: Suseo–Busan high-speed corridor | Statement: [Suseo, railCorridor, Suseo–Busan high-speed corridor]
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: Suseo–Busan high-speed corridor
Triple: [Suseo, railCorridor, Suseo–Busan high-speed corridor]
Generated description
The Suseo–Busan high-speed corridor is a major South Korean high-speed rail line that connects southeastern Seoul to the city of Busan, enhancing capacity and reducing travel times on the country’s primary intercity route.

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_69efd6b612f48190a72012b520afbd10 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f642cf92d88190bdb919fc9fb18c2b completed May 2, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24a22b0150819084ea081d4293ebaf completed June 6, 2026, 10:41 p.m.
NEDg Description generation batch_6a24a60b39cc819083b5bcabf6949022 completed June 6, 2026, 10:58 p.m.
NED2 Entity disambiguation (via description) batch_6a24a9c8dfa481908396853b8d273d69 completed June 6, 2026, 11:14 p.m.
Created at: April 27, 2026, 10:26 p.m.