Triple
T1027296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bali |
E22167
|
entity |
| Predicate | tourismCenter |
P3030
|
FINISHED |
| Object |
Sanur
Sanur is a coastal town in southeastern Bali known for its tranquil beaches, laid-back atmosphere, and role as one of the island’s earliest resort destinations.
|
E128887
|
NE FINISHED |
How this triple was built (4 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: Sanur | Statement: [Bali, tourismCenter, Sanur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sanur Context triple: [Bali, tourismCenter, Sanur]
-
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.
Seminyak
Seminyak is an upscale beach resort area on Bali known for its luxury hotels, trendy restaurants, boutiques, and vibrant nightlife.
-
C.
Denpasar
Denpasar is the largest city and main economic and cultural hub on the Indonesian island of Bali.
-
D.
Badung Regency
Badung Regency is an administrative region in southern Bali, Indonesia, known for major tourist destinations such as Kuta, Seminyak, and Nusa Dua.
-
E.
Mataram
Mataram was the principal urban and political center of the early Javanese Medang Kingdom, serving as a key hub of power and culture in central Java.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sanur Triple: [Bali, tourismCenter, Sanur]
Generated description
Sanur is a coastal town in southeastern Bali known for its tranquil beaches, laid-back atmosphere, and role as one of the island’s earliest resort destinations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sanur Target entity description: Sanur is a coastal town in southeastern Bali known for its tranquil beaches, laid-back atmosphere, and role as one of the island’s earliest resort destinations.
-
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.
Seminyak
Seminyak is an upscale beach resort area on Bali known for its luxury hotels, trendy restaurants, boutiques, and vibrant nightlife.
-
C.
Denpasar
Denpasar is the largest city and main economic and cultural hub on the Indonesian island of Bali.
-
D.
Badung Regency
Badung Regency is an administrative region in southern Bali, Indonesia, known for major tourist destinations such as Kuta, Seminyak, and Nusa Dua.
-
E.
Mataram
Mataram was the principal urban and political center of the early Javanese Medang Kingdom, serving as a key hub of power and culture in central Java.
- F. None of above. chosen
Provenance (5 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_69ac5381e020819094e02c3d20acab95 |
completed | March 7, 2026, 4:34 p.m. |
| NEDg | Description generation | batch_69ac5562cfcc8190a360429aef88f159 |
completed | March 7, 2026, 4:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac55b9aae48190b35546b87eb82cd9 |
completed | March 7, 2026, 4:43 p.m. |
Created at: March 1, 2026, 7:41 p.m.