Triple

T15323740
Position Surface form Disambiguated ID Type / Status
Subject Brunei-Muara District E366356 entity
Predicate contains P35 FINISHED
Object Pulau Sibungur Tengah Kecil 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 Tengah Kecil | Statement: [Brunei-Muara District, contains, Pulau Sibungur Tengah Kecil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pulau Sibungur Tengah Kecil
Context triple: [Brunei-Muara District, contains, Pulau Sibungur Tengah Kecil]
  • 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 Sui Mborong Kecil
    Pulau Sui Mborong Kecil is a small island within Indonesia’s Riung 17 Islands Marine Park, known for its protected marine environment and scenic coastal landscapes.
  • C. Pulau Bedukang
    Pulau Bedukang is a small island located off the coast of Brunei in the Brunei-Muara District.
  • D. Pulau Sibungur Tengah Laut
    Pulau Sibungur Tengah Laut is a small island located off the coast of Brunei within the Brunei-Muara District.
  • E. Pulau Kecil
    Pulau Kecil is a small Indonesian island that forms part of the Dinding Islands 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_69ffe46436048190b79d1d18a179617b completed May 10, 2026, 1:50 a.m.
Created at: April 10, 2026, 3:16 a.m.