Triple
T22303662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanah Lot Temple |
E551318
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Canggu |
—
|
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: Canggu | Statement: [Tanah Lot Temple, near, Canggu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Canggu Context triple: [Tanah Lot Temple, near, Canggu]
-
A.
Canggu
chosen
Canggu is a trendy coastal village in Bali known for its surf-friendly beaches, laid-back atmosphere, and vibrant café and nightlife scene.
-
B.
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.
-
C.
Nusa Penida
Nusa Penida is a rugged Indonesian island southeast of Bali, known for its dramatic coastal cliffs, clear waters, and popular dive sites with manta rays and vibrant coral reefs.
-
D.
Tanjung Benoa
Tanjung Benoa is a coastal resort area in southern Bali, Indonesia, known for its beaches and water sports activities.
-
E.
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.
- 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_69e11e46c0188190800181a4233f28fe |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15725de488190a32006cd99dd4a67 |
completed | April 29, 2026, 12:56 a.m. |
Created at: April 16, 2026, 8:41 p.m.