Triple

T15323731
Position Surface form Disambiguated ID Type / Status
Subject Brunei-Muara District E366356 entity
Predicate contains P35 FINISHED
Object Pulau Sibungur Darat E1173615 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: Pulau Sibungur Darat | Statement: [Brunei-Muara District, contains, Pulau Sibungur Darat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pulau Sibungur Darat
Context triple: [Brunei-Muara District, contains, Pulau Sibungur Darat]
  • A. Pulau Sibungur chosen
    Pulau Sibungur is a small island located within Brunei’s Brunei-Muara District, known primarily as part of the country’s coastal and riverine landscape.
  • B. Pulau Berbunut
    Pulau Berbunut is a small river island located within Brunei’s Brunei-Muara District, known for its natural setting along the Brunei River.
  • C. Pulau Bedukang
    Pulau Bedukang is a small island located off the coast of Brunei in the Brunei-Muara District.
  • D. Pulau Pepatan
    Pulau Pepatan is a small island located within Brunei's Brunei-Muara District, known for its coastal and village setting along the Brunei River.
  • E. Pulau Dayang Bunting
    Pulau Dayang Bunting is a scenic Malaysian island famed for its freshwater lake, Lake of the Pregnant Maiden, and lush limestone landscapes within the Langkawi archipelago.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03dd5ce0c819093c9a14de549dff6 completed April 16, 2026, 1:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa11f77788190866e0820d33af588 completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 3:16 a.m.