Triple
T17849358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natuna Sea |
E445754
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Borneo |
—
|
NE NERFINISHED |
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: Borneo | Statement: [Natuna Sea, near, Borneo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Borneo Context triple: [Natuna Sea, near, Borneo]
-
A.
Borneo
chosen
Borneo is the world’s third-largest island in Southeast Asia, known for its vast rainforests, rich biodiversity, and division among Indonesia, Malaysia, and Brunei.
-
B.
Borneo Island
Borneo Island is a modern residential island in Amsterdam’s Eastern Docklands, known for its contemporary architecture and waterfront urban design.
-
C.
Kalimantan
Kalimantan is the Indonesian portion of the island of Borneo, known for its vast rainforests, rich biodiversity, and significant natural resources.
-
D.
northern Borneo
Northern Borneo is the upper portion of the island of Borneo, encompassing parts of modern-day Malaysia and Brunei and known for its dense rainforests, rich biodiversity, and indigenous communities.
-
E.
Borne Sulinowo
Borne Sulinowo is a town in northwestern Poland known for having been a secret Soviet military base during the Cold War before being opened to civilians in the 1990s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48ffd7e2c81909a42cc7ab64e7db9 |
completed | April 19, 2026, 8:19 a.m. |
Created at: April 10, 2026, 10:16 a.m.