Triple
T15324137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brunei Bay |
E366365
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object | Pulau Muara Besar |
E1153761
|
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 Muara Besar | Statement: [Brunei Bay, hasIsland, Pulau Muara Besar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pulau Muara Besar Context triple: [Brunei Bay, hasIsland, Pulau Muara Besar]
-
A.
Pulau Muara Besar
chosen
Pulau Muara Besar is a large island off the coast of Brunei known for its deep-water port facilities and major industrial and petrochemical developments.
-
B.
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.
-
C.
Pulau Keingaran
Pulau Keingaran is a small island located within Brunei’s Brunei-Muara District, known for its coastal and marine surroundings.
-
D.
Pulau Ranggu
Pulau Ranggu is a small island located within Brunei’s Brunei-Muara District, known primarily as part of the country’s coastal and riverine landscape.
-
E.
Pulau Sibungur
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.
- 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_69ffcf0a12e081908d7d2ae7c9774f94 |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 3:16 a.m.