Triple
T15323729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brunei-Muara District |
E366356
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Pulau Sibungur 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 Kecil | Statement: [Brunei-Muara District, contains, Pulau Sibungur Kecil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pulau Sibungur Kecil Context triple: [Brunei-Muara District, contains, Pulau Sibungur 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 Bedukang
Pulau Bedukang is a small island located off the coast of Brunei in the Brunei-Muara District.
-
C.
Pulau Tembang
Pulau Tembang is one of the small islands within the Riung 17 Islands Marine Park in Flores, Indonesia, known for its marine biodiversity and scenic coastal environment.
-
D.
Pulau Kecil
Pulau Kecil is a small Indonesian island that forms part of the Dinding Islands archipelago.
-
E.
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.
- 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_69ff9085d388819092be2fd8a0268e23 |
completed | May 9, 2026, 7:52 p.m. |
Created at: April 10, 2026, 3:16 a.m.