Triple

T20564970
Position Surface form Disambiguated ID Type / Status
Subject Kedahan Malay E504943 entity
Predicate spokenIn P2266 FINISHED
Object Perlis 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: Perlis | Statement: [Kedahan Malay, spokenIn, Perlis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perlis
Context triple: [Kedahan Malay, spokenIn, Perlis]
  • A. Perlis chosen
    Perlis is Malaysia’s smallest state, located in the northern part of the Malay Peninsula bordering Thailand and known for its agricultural landscape and quiet rural character.
  • B. Kuala Perlis
    Kuala Perlis is a small coastal town in Malaysia known as a key ferry gateway to the resort island of Langkawi.
  • C. Terengganu
    Terengganu is a state on the eastern coast of Peninsular Malaysia, known for its traditional Malay culture, Islamic heritage, and scenic islands and beaches along the South China Sea.
  • D. Pahang
    Pahang is a large Malaysian state on the eastern coast of Peninsular Malaysia, known for its extensive rainforests, highlands like Cameron Highlands, and long South China Sea coastline.
  • E. Kelantan
    Kelantan is a northeastern Malaysian state on the Malay Peninsula, known for its strong Malay cultural traditions, Islamic influence, and capital city Kota Bharu.
  • 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.