Triple
T22242672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Singaraja |
E549760
|
entity |
| Predicate | hasNearbyAttraction |
P2064
|
FINISHED |
| Object |
Air Sanih
Air Sanih is a natural cold spring and seaside bathing spot in North Bali, Indonesia, known for its clear freshwater pools and tranquil coastal setting.
|
E1527417
|
NE FINISHED |
How this triple was built (4 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: Air Sanih | Statement: [Singaraja, hasNearbyAttraction, Air Sanih]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Air Sanih Context triple: [Singaraja, hasNearbyAttraction, Air Sanih]
-
A.
Air Itam
Air Itam is a suburb on Penang Island in Malaysia, known as a cultural and religious hub and a popular stop for visitors exploring Penang’s heritage sites.
-
B.
L’Air
L’Air is a celebrated early 20th-century sculpture by Aristide Maillol that exemplifies his serene, classical approach to the female form.
-
C.
Air Tamajeq
Air Tamajeq is a variety of the Tuareg Berber language spoken primarily by communities in the Aïr region of Niger.
-
D.
Air Zarco
Air Zarco was the original name of EuroAtlantic Airways, a Portuguese charter and wet-lease airline known for long-haul and ACMI operations.
-
E.
Air Gegas
Air Gegas is a village-level settlement located within South Bangka Regency on Bangka Island in Indonesia’s Bangka Belitung Islands province.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Air Sanih Triple: [Singaraja, hasNearbyAttraction, Air Sanih]
Generated description
Air Sanih is a natural cold spring and seaside bathing spot in North Bali, Indonesia, known for its clear freshwater pools and tranquil coastal setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Air Sanih Target entity description: Air Sanih is a natural cold spring and seaside bathing spot in North Bali, Indonesia, known for its clear freshwater pools and tranquil coastal setting.
-
A.
Air Itam
Air Itam is a suburb on Penang Island in Malaysia, known as a cultural and religious hub and a popular stop for visitors exploring Penang’s heritage sites.
-
B.
L’Air
L’Air is a celebrated early 20th-century sculpture by Aristide Maillol that exemplifies his serene, classical approach to the female form.
-
C.
Air Tamajeq
Air Tamajeq is a variety of the Tuareg Berber language spoken primarily by communities in the Aïr region of Niger.
-
D.
Air Zarco
Air Zarco was the original name of EuroAtlantic Airways, a Portuguese charter and wet-lease airline known for long-haul and ACMI operations.
-
E.
Air Gegas
Air Gegas is a village-level settlement located within South Bangka Regency on Bangka Island in Indonesia’s Bangka Belitung Islands province.
- F. None of above. chosen
Provenance (5 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f132150a3c81908eba0683819e26d0 |
completed | April 28, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ab65a809c8190be94c20c994dcdbb |
completed | May 18, 2026, 6:48 a.m. |
| NEDg | Description generation | batch_6a0ab7f904bc81909addafee8773eae0 |
completed | May 18, 2026, 6:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ab891ba1c81909c9e9a5f29d4eb54 |
completed | May 18, 2026, 6:58 a.m. |
Created at: April 16, 2026, 8:38 p.m.