Triple

T30411600
Position Surface form Disambiguated ID Type / Status
Subject Selayang E773634 entity
Predicate roadAccess P385 FINISHED
Object Kuala Lumpur–Rawang Highway
The Kuala Lumpur–Rawang Highway is a major roadway in the Klang Valley region of Malaysia that connects central Kuala Lumpur with the northern town of Rawang and serves several suburban communities along its route.
E1962161 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: Kuala Lumpur–Rawang Highway | Statement: [Selayang, roadAccess, Kuala Lumpur–Rawang Highway]
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: Kuala Lumpur–Rawang Highway
Triple: [Selayang, roadAccess, Kuala Lumpur–Rawang Highway]
Generated description
The Kuala Lumpur–Rawang Highway is a major roadway in the Klang Valley region of Malaysia that connects central Kuala Lumpur with the northern town of Rawang and serves several suburban communities along its 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_69f22490b8b48190ab10c886a8d58c89 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f686458b9c81909f61ea9c00154de6 completed May 2, 2026, 11:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2b074b651c81909674968a932fcb59 completed June 11, 2026, 7:06 p.m.
NEDg Description generation batch_6a2b08046b0881909b10953b0bad8e26 completed June 11, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_6a2b086d543c81909e5721964b993048 completed June 11, 2026, 7:11 p.m.
Created at: April 29, 2026, 8:05 p.m.