Triple

T15333311
Position Surface form Disambiguated ID Type / Status
Subject Kuala Lumpur Convention Centre E366594 entity
Predicate region P40 FINISHED
Object Klang Valley E215519 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: Klang Valley | Statement: [Kuala Lumpur Convention Centre, region, Klang Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Klang Valley
Context triple: [Kuala Lumpur Convention Centre, region, Klang Valley]
  • A. Klang Valley chosen
    Klang Valley is Malaysia’s most populous urban and economic region, centered on Kuala Lumpur and its surrounding cities in Selangor.
  • B. Klang River
    The Klang River is a major waterway in Malaysia that flows through the capital city of Kuala Lumpur before emptying into the Strait of Malacca.
  • C. Klang
    Klang is a historic town and major urban center in the state of Selangor, Malaysia, known for its royal heritage and proximity to the Port Klang industrial hub.
  • D. Kinta Valley
    Kinta Valley is a region in the state of Perak, Malaysia, historically renowned as one of the world’s richest tin-mining areas and now known for its karst limestone hills and the city of Ipoh.
  • E. Perak River
    The Perak River is one of the longest and most important rivers in Peninsular Malaysia, flowing through the state of Perak and supporting its agriculture, settlements, and ecosystems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e0268608190947a58f559a67717 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01ecb904819082454622dcd77556 completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:17 a.m.