Triple

T8649322
Position Surface form Disambiguated ID Type / Status
Subject Tanah Merah E205058 entity
Predicate locatedIn P40 FINISHED
Object Kelantan E41638 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: Kelantan | Statement: [Tanah Merah, locatedIn, Kelantan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kelantan
Context triple: [Tanah Merah, locatedIn, Kelantan]
  • A. Kelantan chosen
    Kelantan is a northeastern Malaysian state on the Malay Peninsula, known for its strong Malay cultural traditions, Islamic influence, and capital city Kota Bharu.
  • B. 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.
  • C. Johor
    Johor is a state in southern Peninsular Malaysia known for its strategic location bordering Singapore, diverse economy, and rich Malay cultural heritage.
  • 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. Kedah
    Kedah is a state in northwestern Peninsular Malaysia, historically significant as one of the oldest Malay kingdoms and once part of British Malaya.
  • 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_69ca834e56848190abb0eeaec9dedd32 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4813d0548190b203e594acc38c8f completed March 31, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1d583f75c819083cb0dcdf265d735 completed April 5, 2026, 3:22 a.m.
Created at: March 30, 2026, 6:29 p.m.