Triple
T11394638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nusa Penida |
E269940
|
entity |
| Predicate | hasNeighbor |
P5707
|
FINISHED |
| Object | Nusa Lembongan |
E272623
|
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: Nusa Lembongan | Statement: [Nusa Penida, hasNeighbor, Nusa Lembongan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nusa Lembongan Context triple: [Nusa Penida, hasNeighbor, Nusa Lembongan]
-
A.
Nusa Lembongan
chosen
Nusa Lembongan is a small Indonesian island off the southeast coast of Bali, known for its clear waters, coral reefs, and laid-back beach tourism.
-
B.
Nusa Penida
Nusa Penida is a rugged Indonesian island southeast of Bali, known for its dramatic coastal cliffs, clear waters, and popular dive sites with manta rays and vibrant coral reefs.
-
C.
Pura Island
Pura Island is a small volcanic island in Indonesia’s Alor archipelago, known for its traditional villages and rich surrounding coral reefs popular with divers.
-
D.
Nusa Ceningan
Nusa Ceningan is a small, scenic island in Bali’s Nusa Islands group, known for its coastal cliffs, surf breaks, and relaxed beachside atmosphere.
-
E.
Tanjung Benoa
Tanjung Benoa is a coastal resort area in southern Bali, Indonesia, known for its beaches and water sports activities.
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80018a58c81908b80dc9abd18d650 |
completed | April 9, 2026, 7:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5b8250c288190b5bff70f7445b815 |
completed | April 20, 2026, 5:22 a.m. |
Created at: April 8, 2026, 9:34 p.m.