Triple
T15461252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brunei River |
E371903
|
entity |
| Predicate | hasMouthNear |
P350
|
FINISHED |
| Object | Muara |
E1150175
|
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: Muara | Statement: [Brunei River, hasMouthNear, Muara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muara Context triple: [Brunei River, hasMouthNear, Muara]
-
A.
Muara
chosen
Muara is a coastal town in Brunei known for its deep-water port and strategic location at the northeastern tip of the country.
-
B.
Muara Bulian
Muara Bulian is a town in Jambi Province on the island of Sumatra, Indonesia, known as an administrative and economic center in the Batang Hari Regency.
-
C.
Palu River
The Palu River is a waterway in Central Sulawesi, Indonesia, that flows through the city of Palu before emptying into Palu Bay.
-
D.
Melawi River
The Melawi River is a significant waterway in West Kalimantan, Indonesia, known for flowing through remote rainforest regions and supporting local communities before joining the Kapuas River.
-
E.
Malacca River
The Malacca River is a historic waterway running through the city of Malacca, Malaysia, famed for its role in regional trade and its picturesque, heritage-lined riverfront.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f17663c8190b995c7c3129c90d6 |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2cfd76cc8190b3d8148ffe872887 |
completed | May 9, 2026, 12:47 p.m. |
Created at: April 10, 2026, 3:32 a.m.