Triple

T431513
Position Surface form Disambiguated ID Type / Status
Subject Malaysia E9722 entity
Predicate majorCity P316 FINISHED
Object George Town E55976 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: George Town | Statement: [Malaysia, majorCity, George Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Town
Context triple: [Malaysia, majorCity, George Town]
  • A. Penang chosen
    Penang is a Malaysian state and island renowned for its multicultural heritage, historic George Town, and vibrant street food scene.
  • B. Malacca
    Malacca is a historic Malaysian state on the southwest coast of the Malay Peninsula, renowned for its rich multicultural heritage and its former role as a major trading port.
  • C. Kuala Lumpur
    Kuala Lumpur is the capital and largest city of Malaysia, known for its modern skyline dominated by the Petronas Twin Towers and its role as the country’s cultural, financial, and economic center.
  • D. Putrajaya
    Putrajaya is Malaysia’s planned federal administrative capital, known for its modern architecture, landscaped boulevards, and numerous government complexes.
  • E. Labuan
    Labuan is a federal territory of Malaysia comprising a main island and several smaller ones, known as an offshore financial center and duty-free port off the coast of Borneo.
  • 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_69a2e801e1d48190b505d1dd336b52ac completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2eef07e748190b05392778f3de980 completed Feb. 28, 2026, 1:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69a44f522acc81909d16527bd08e458d completed March 1, 2026, 2:38 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.