Triple

T28358500
Position Surface form Disambiguated ID Type / Status
Subject South Korean national highway network E718299 entity
Predicate hasPart P35 FINISHED
Object National Route 350
National Route 350 is a designated national highway in South Korea that forms part of the country’s primary road network, connecting regional areas and supporting intercity transportation.
 E2054654 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: National Route 350 | Statement: [South Korean national highway network, hasPart, National Route 350]
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: National Route 350
Triple: [South Korean national highway network, hasPart, National Route 350]
Generated description
National Route 350 is a designated national highway in South Korea that forms part of the country’s primary road network, connecting regional areas and supporting intercity transportation.

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_69eff6ec27b481908c8d7b86c47893d9 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69f64c2f74b08190b7b6f4f8e82388a8 completed May 2, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a359583c21c819083b2c2d5ac15ad11 completed June 19, 2026, 7:16 p.m.
NEDg Description generation batch_6a35a07b378c81909c246bc347c47ee3 completed June 19, 2026, 8:03 p.m.
NED2 Entity disambiguation (via description) batch_6a35a103368881908241e8cc960d871d completed June 19, 2026, 8:05 p.m.
Created at: April 28, 2026, 12:50 a.m.