Triple

T7503382
Position Surface form Disambiguated ID Type / Status
Subject Dinding Islands E177324 entity
Predicate partOf P40 FINISHED
Object Perak state E39332 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: Perak state | Statement: [Dinding Islands, partOf, Perak state]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perak state
Context triple: [Dinding Islands, partOf, Perak state]
  • A. Perak chosen
    Perak is a Malaysian state on the west coast of the Malay Peninsula, historically known for its rich tin deposits and former status as a key sultanate within British Malaya.
  • B. 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.
  • C. Selangor
    Selangor is a highly developed and populous state on the west coast of Peninsular Malaysia that surrounds the federal territories of Kuala Lumpur and Putrajaya.
  • D. Negeri Sembilan
    Negeri Sembilan is a state in western Peninsular Malaysia known for its Minangkabau cultural heritage and distinctive traditional architecture.
  • E. Johor
    Johor is a state in southern Peninsular Malaysia known for its strategic location bordering Singapore, diverse economy, and rich Malay cultural heritage.
  • 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_69c69f2696688190915a8458f2398211 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5b32c708190bb3a92d0d949304a completed March 27, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84608021481908ce58a131d75188b completed March 28, 2026, 9:20 p.m.
Created at: March 27, 2026, 3:44 p.m.