Triple
T5339269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galungan |
E123903
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Island of Bali |
E22167
|
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: Island of Bali | Statement: [Galungan, region, Island of Bali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Island of Bali Context triple: [Galungan, region, Island of Bali]
-
A.
Lombok Island
Lombok Island is an Indonesian island east of Bali, known for its volcanic Mount Rinjani, scenic crater lake Segara Anak, and popular beaches and surf spots.
-
B.
Bali
chosen
Bali is a popular Indonesian island province renowned for its tropical beaches, vibrant Hindu culture, and status as a major international tourism and conference destination.
-
C.
Bali
Bali is a small seaside resort village on the northern coast of Crete, Greece, known for its sheltered bays, beaches, and relaxed holiday atmosphere.
-
D.
Madura Island
Madura Island is an Indonesian island off the northeastern coast of Java, known for its distinct Madurese culture, traditional bull races (karapan sapi), and salt production.
-
E.
Isle of Java
Isle of Java is a coffee-focused quick-service location at Disney’s Discovery Island, known for serving beverages and light refreshments to park guests.
- 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_69bd464b07f8819095aa76577c9829e4 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85c8415c819099a0b26e07360f01 |
completed | March 20, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf6c457698819080b4dff35f9c9f63 |
completed | March 22, 2026, 4:12 a.m. |
Created at: March 20, 2026, 2 p.m.