Triple
T20781214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jimbaran |
E511485
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Kuta Selatan District |
—
|
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: Kuta Selatan District | Statement: [Jimbaran, partOf, Kuta Selatan District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kuta Selatan District Context triple: [Jimbaran, partOf, Kuta Selatan District]
-
A.
South Kuta District
chosen
South Kuta District is a popular coastal area in southern Bali, Indonesia, known for its major tourist destinations such as Nusa Dua, Jimbaran, and Uluwatu.
-
B.
Kita District
Kita District is a historical administrative region in Japan that once formed part of the Nanbu clan’s feudal domain in the Tōhoku area.
-
C.
Kejayan District
Kejayan District is an administrative district located within Pasuruan Regency in East Java, Indonesia.
-
D.
North Kuta District
North Kuta District is a rapidly developing suburban and tourist area in southern Bali, Indonesia, known for popular destinations such as Canggu and its surrounding beaches.
-
E.
Rancaekek District
Rancaekek District is an administrative district in West Java, Indonesia, situated within the greater Bandung metropolitan area and known for its mix of residential, industrial, and agricultural zones.
- 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_69e0b4cac7a48190a715cb3d545df2b4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c287b5288190823766fe59402d48 |
completed | April 21, 2026, 12:19 a.m. |
Created at: April 16, 2026, 12:37 p.m.