Triple
T1027295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bali |
E22167
|
entity |
| Predicate | tourismCenter |
P3030
|
FINISHED |
| Object | Nusa Dua |
E122867
|
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 Dua | Statement: [Bali, tourismCenter, Nusa Dua]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nusa Dua Context triple: [Bali, tourismCenter, Nusa Dua]
-
A.
Senggigi
Senggigi is a popular coastal resort town on the Indonesian island of Lombok, known for its long sandy beaches, sunset views, and access to nearby islands and dive sites.
-
B.
The Istana
The Istana is the official presidential palace and primary ceremonial venue of Singapore, serving as the office and residence of the President.
-
C.
Bali
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.
-
D.
Kuta Lombok
Kuta Lombok is a coastal town on the Indonesian island of Lombok known for its scenic white-sand beaches, surf breaks, and laid-back tourism atmosphere.
-
E.
Badung Regency
chosen
Badung Regency is an administrative region in southern Bali, Indonesia, known for major tourist destinations such as Kuta, Seminyak, and Nusa Dua.
- 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_69a493d6e380819097b384986ffc315c |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bb71e7f88190bf33bbe5ef2c68ff |
completed | March 1, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4c15bb8481909ba68f5807581b18 |
completed | March 7, 2026, 4:02 p.m. |
Created at: March 1, 2026, 7:41 p.m.