Triple

T2333763
Position Surface form Disambiguated ID Type / Status
Subject Unfederated Malay States E44263 entity
Predicate hasMember P10 FINISHED
Object Johor E40971 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: Johor | Statement: [Unfederated Malay States, hasMember, Johor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johor
Context triple: [Unfederated Malay States, hasMember, Johor]
  • A. Johor chosen
    Johor is a state in southern Peninsular Malaysia known for its strategic location bordering Singapore, diverse economy, and rich Malay cultural heritage.
  • B. 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.
  • C. Negeri Sembilan
    Negeri Sembilan is a state in western Peninsular Malaysia known for its Minangkabau cultural heritage and distinctive traditional architecture.
  • 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. 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.
  • 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_69a889132b488190bbb43ad4780ddd92 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc66d7ea081908867ff494b70df1e completed March 7, 2026, 6:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69b2356752c08190aac1b36f6c14ad8c completed March 12, 2026, 3:39 a.m.
Created at: March 4, 2026, 7:51 p.m.