Triple
T21179482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Kuta District |
E521906
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Kerobokan |
—
|
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: Kerobokan | Statement: [North Kuta District, contains, Kerobokan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kerobokan Context triple: [North Kuta District, contains, Kerobokan]
-
A.
Kerobokan
chosen
Kerobokan is a coastal area in Bali, Indonesia, known for its mix of upscale villas, trendy restaurants, and the infamous Kerobokan Prison.
-
B.
Kabu Kabu
Kabu Kabu is a speculative fiction short story collection by Nnedi Okorafor that blends African folklore, magical realism, and contemporary themes.
-
C.
Karekari
Karekari is an alternative name for Karekare, a coastal settlement in West Auckland, New Zealand, known for its rugged black-sand surf beach and dramatic landscapes.
-
D.
Kerakat
Kerakat is a town and administrative subdivision in the Jaunpur district of Uttar Pradesh, India, known for its local markets and agrarian surroundings.
-
E.
Rancaekek
Rancaekek is a suburban district in West Java, Indonesia, known as a growing residential and industrial area on the eastern outskirts of Bandung.
- 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.