Triple

T20564972
Position Surface form Disambiguated ID Type / Status
Subject Kedahan Malay E504943 entity
Predicate spokenIn P2266 FINISHED
Object Langkawi NE NERFINISHED

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: Langkawi | Statement: [Kedahan Malay, spokenIn, Langkawi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Langkawi
Context triple: [Kedahan Malay, spokenIn, Langkawi]
  • A. Penang Island
    Penang Island is a major Malaysian island off the northwest coast of Peninsular Malaysia, renowned for its historic George Town, multicultural heritage, and vibrant food scene.
  • B. Langkawi Archipelago chosen
    The Langkawi Archipelago is a popular Malaysian island group in the Andaman Sea, renowned for its beaches, rainforest-covered hills, and duty-free resort tourism.
  • C. Pangkor Island
    Pangkor Island is a small resort island off the west coast of Peninsular Malaysia, known for its beaches, fishing villages, and laid-back holiday atmosphere.
  • D. Pulau Bako
    Pulau Bako is one of the small islands within Indonesia’s Riung 17 Islands Marine Park, known for its coastal scenery and marine biodiversity.
  • E. Pulau Perhentian
    Pulau Perhentian is a pair of tropical islands off the northeast coast of Peninsular Malaysia, renowned for their clear waters, coral reefs, and popular snorkeling and diving spots.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b6587c8190aee63dc7cff244ea completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a7a15c988190ba93823df119ca4d completed April 20, 2026, 10:24 p.m.
Created at: April 16, 2026, 11:39 a.m.