Triple

T37300780
Position Surface form Disambiguated ID Type / Status
Subject Taman Melawati E925933 entity
Predicate roadAccessVia P9041 FINISHED
Object Duke Highway (via connecting roads)
Duke Highway (via connecting roads) is a major expressway in the Klang Valley region of Malaysia that provides key connectivity between suburban areas like Taman Melawati and central Kuala Lumpur.
E2222832 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: Duke Highway (via connecting roads) | Statement: [Taman Melawati, roadAccessVia, Duke Highway (via connecting roads)]
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: Duke Highway (via connecting roads)
Triple: [Taman Melawati, roadAccessVia, Duke Highway (via connecting roads)]
Generated description
Duke Highway (via connecting roads) is a major expressway in the Klang Valley region of Malaysia that provides key connectivity between suburban areas like Taman Melawati and central Kuala Lumpur.

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_69f76eb1bc508190924e9fa5d8acdeb3 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb5af0cb948190ab75de505cfb4d77 completed May 6, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40638ce86c81909d4b1080d27f24a4 completed June 27, 2026, 11:58 p.m.
NEDg Description generation batch_6a40657ec1808190811a61631b126148 completed June 28, 2026, 12:06 a.m.
NED2 Entity disambiguation (via description) batch_6a4066193dbc819099186decd93ba3be completed June 28, 2026, 12:08 a.m.
Created at: May 3, 2026, 4:16 p.m.