Triple

T11687462
Position Surface form Disambiguated ID Type / Status
Subject Seberang Perai E277779 entity
Predicate hasPart P35 FINISHED
Object Seberang Perai Utara E277779 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: Seberang Perai Utara | Statement: [Seberang Perai, hasPart, Seberang Perai Utara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seberang Perai Utara
Context triple: [Seberang Perai, hasPart, Seberang Perai Utara]
  • A. Seberang Perai chosen
    Seberang Perai is the mainland region of the Malaysian state of Penang, known for its mix of urban, industrial, and agricultural areas across the Peninsular Malaysia side of the state.
  • B. Northeast Penang Island District
    Northeast Penang Island District is an administrative district on Penang Island in Malaysia that encompasses George Town and several surrounding suburbs and coastal areas.
  • C. Sungai Petani
    Sungai Petani is a major commercial and residential town in the Malaysian state of Kedah, known as one of its largest and most rapidly developing urban centers.
  • D. Batu Pahat
    Batu Pahat is a coastal town and important commercial and industrial hub in the Malaysian state of Johor.
  • E. Klang District
    Klang District is an administrative district in the state of Selangor, Malaysia, centered on the historic royal town and major port city of Klang.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4654be881909bd0256cf18e25de completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef831d27248190894ffdb12c1ddd4d completed April 27, 2026, 3:39 p.m.
Created at: April 8, 2026, 9:40 p.m.