Triple

T24832588
Position Surface form Disambiguated ID Type / Status
Subject Korea Expressway network E621379 entity
Predicate hasPart P35 FINISHED
Object Sejong–Pocheon Expressway
The Sejong–Pocheon Expressway is a major South Korean highway that connects the administrative city of Sejong with Pocheon in Gyeonggi Province, improving north–south traffic flow in the central region.
 E1693804 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: Sejong–Pocheon Expressway | Statement: [Korea Expressway network, hasPart, Sejong–Pocheon Expressway]
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: Sejong–Pocheon Expressway
Triple: [Korea Expressway network, hasPart, Sejong–Pocheon Expressway]
Generated description
The Sejong–Pocheon Expressway is a major South Korean highway that connects the administrative city of Sejong with Pocheon in Gyeonggi Province, improving north–south traffic flow in the central region.

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_69e2fac0c3b881909110e5a56c6fa46f completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f422b39bdc819098945c6e7b1a1a14 completed May 1, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10cbae95d4819084a01f47acc1b9bb completed May 22, 2026, 9:33 p.m.
NEDg Description generation batch_6a10cd0673f88190b2bebf8702254035 completed May 22, 2026, 9:39 p.m.
NED2 Entity disambiguation (via description) batch_6a10cdbf40d08190b75d8cdd23552e3a completed May 22, 2026, 9:42 p.m.
Created at: April 18, 2026, 5:16 a.m.