Triple

T9013029
Position Surface form Disambiguated ID Type / Status
Subject Sultan Abdul Aziz Shah Airport E215520 entity
Predicate regionServed P82 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: [Sultan Abdul Aziz Shah Airport, regionServed, Klang Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Klang Valley
Context triple: [Sultan Abdul Aziz Shah Airport, regionServed, 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_69ca83a2bf088190986ee7a8eb90407d completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69f96980819093bfc49d48570c65 completed April 1, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69d017643df48190abdb672a3f85aef3 completed April 3, 2026, 7:39 p.m.
Created at: March 30, 2026, 7:06 p.m.