Triple
T5811959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tabanan Regency |
E128888
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Tanah Lot |
E551318
|
NE FINISHED |
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: Tanah Lot | Statement: [Tabanan Regency, contains, Tanah Lot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanah Lot Context triple: [Tabanan Regency, contains, Tanah Lot]
-
A.
Tanah Lot Temple
chosen
Tanah Lot Temple is a famous Balinese sea temple perched on a rocky offshore outcrop, renowned for its sunset views and cultural significance in Bali, Indonesia.
-
B.
Pura Blanjong
Pura Blanjong is an ancient Hindu temple in Sanur, Bali, renowned for its stone pillar inscription dating back to the 10th century.
-
C.
Pura Besakih
Pura Besakih is Bali’s largest and most important Hindu temple complex, often called the “Mother Temple,” situated on the slopes of Mount Agung.
-
D.
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.
-
E.
Tegallalang
Tegallalang is a village and district in central Bali, Indonesia, best known for its iconic terraced rice fields and scenic rural landscapes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b54c2848190bb85212689d0b511 |
completed | March 22, 2026, 5:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0bfb903788190bae497fe72bd1e78 |
completed | March 23, 2026, 4:21 a.m. |
Created at: March 22, 2026, 3:52 p.m.