Triple
T21179445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuta District |
E521905
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object | Legian Beach |
—
|
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: Legian Beach | Statement: [Kuta District, hasAttraction, Legian Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Legian Beach Context triple: [Kuta District, hasAttraction, Legian Beach]
-
A.
Legian
chosen
Legian is a popular beach resort area on Bali’s southwest coast, known for its surfing-friendly waves, lively nightlife, and proximity to Kuta and Seminyak.
-
B.
Nusa Dua Beach
Nusa Dua Beach is a popular white-sand coastal destination in southern Bali, Indonesia, known for its calm waters, luxury resorts, and well-maintained beachfront.
-
C.
Seminyak
Seminyak is an upscale beach resort area on Bali known for its luxury hotels, trendy restaurants, boutiques, and vibrant nightlife.
-
D.
Siloso Beach
Siloso Beach is a popular man-made beachfront on Singapore’s Sentosa Island known for its lively atmosphere, water sports, and seaside dining.
-
E.
Mertasari Beach
Mertasari Beach is a tranquil coastal spot in the Sanur area of Bali, Indonesia, known for its calm waters, sunrise views, and relaxed local atmosphere.
- 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_69e0b50ef1d48190b063aa342667df22 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7301c842c8190b969a8b3f194003a |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 3:01 p.m.