Triple
T18554668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borneo-Sporenburg |
E453471
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Borneo Island |
—
|
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 Island | Statement: [Borneo-Sporenburg, hasPart, Borneo Island]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Borneo Island Context triple: [Borneo-Sporenburg, hasPart, Borneo Island]
-
A.
Borneo Island
chosen
Borneo Island is a modern residential island in Amsterdam’s Eastern Docklands, known for its contemporary architecture and waterfront urban design.
-
B.
Borneo
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.
-
C.
Bangka Island
Bangka Island is a large Indonesian island off the eastern coast of Sumatra, known for its tin mining, pepper production, and Malay-Bangka cultural heritage.
-
D.
Kalimantan
Kalimantan is the Indonesian portion of the island of Borneo, known for its vast rainforests, rich biodiversity, and significant natural resources.
-
E.
Labuan Island
Labuan Island is a small Malaysian federal territory off the coast of Borneo, known as an offshore financial center and duty-free island with historical World War II sites and busy port facilities.
- 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5380341548190873eeb92f86bd6fe |
completed | April 19, 2026, 8:16 p.m. |
Created at: April 10, 2026, 11:38 a.m.