Triple

T9012967
Position Surface form Disambiguated ID Type / Status
Subject Klang Valley E215519 entity
Predicate containsCity P294 FINISHED
Object Klang E210327 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 | Statement: [Klang Valley, containsCity, Klang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Klang
Context triple: [Klang Valley, containsCity, Klang]
  • A. Klang chosen
    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.
  • B. Klang Valley
    Klang Valley is Malaysia’s most populous urban and economic region, centered on Kuala Lumpur and its surrounding cities in Selangor.
  • C. Bachok
    Bachok is a coastal town and district in the Malaysian state of Kelantan, known for its beaches and traditional Malay fishing villages.
  • D. Kuala Krai
    Kuala Krai is a town and district capital in the interior of Kelantan, Malaysia, known as a regional administrative and commercial center along the Kelantan River.
  • E. Bangi
    Bangi is a town in the state of Selangor, Malaysia, known as an educational hub due to the presence of major institutions and research facilities.
  • 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_69cfeb671e488190920fb1780e4ad48d completed April 3, 2026, 4:31 p.m.
Created at: March 30, 2026, 7:06 p.m.