Triple
T5941719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuta |
E132180
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Kuta Beach
Kuta Beach is a famous tourist beach in Bali, Indonesia, known for its surfing waves, vibrant nightlife, and sunset views.
|
E563101
|
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: Kuta Beach | Statement: [Kuta, hasPart, Kuta Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kuta Beach Context triple: [Kuta, hasPart, Kuta Beach]
-
A.
Koki Beach
Koki Beach is a scenic red-sand beach on Maui’s Hāna coast, known for its rugged shoreline, strong surf, and views of the nearby ʻAlau Island.
-
B.
Kata Beach
Kata Beach is a popular sandy beach on the southwest coast of Phuket, Thailand, known for its clear waters, relaxed atmosphere, and surfing-friendly waves.
-
C.
Kania Beach
Kania Beach is a small, tranquil seaside spot on the Greek island of Chalki, known for its clear waters and relaxed atmosphere.
-
D.
Kite Beach
Kite Beach is a popular public beach in Dubai known for its water sports, especially kitesurfing, and its views of the Burj Al Arab.
-
E.
Kapu Beach
Kapu Beach is a scenic seaside destination in Karnataka, India, known for its historic lighthouse, golden sands, and picturesque Arabian Sea views.
- 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: Kuta Beach Triple: [Kuta, hasPart, Kuta Beach]
Generated description
Kuta Beach is a famous tourist beach in Bali, Indonesia, known for its surfing waves, vibrant nightlife, and sunset views.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kuta Beach Target entity description: Kuta Beach is a famous tourist beach in Bali, Indonesia, known for its surfing waves, vibrant nightlife, and sunset views.
-
A.
Koki Beach
Koki Beach is a scenic red-sand beach on Maui’s Hāna coast, known for its rugged shoreline, strong surf, and views of the nearby ʻAlau Island.
-
B.
Kata Beach
Kata Beach is a popular sandy beach on the southwest coast of Phuket, Thailand, known for its clear waters, relaxed atmosphere, and surfing-friendly waves.
-
C.
Kania Beach
Kania Beach is a small, tranquil seaside spot on the Greek island of Chalki, known for its clear waters and relaxed atmosphere.
-
D.
Kite Beach
Kite Beach is a popular public beach in Dubai known for its water sports, especially kitesurfing, and its views of the Burj Al Arab.
-
E.
Kapu Beach
Kapu Beach is a scenic seaside destination in Karnataka, India, known for its historic lighthouse, golden sands, and picturesque Arabian Sea views.
- 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_69c00869d3308190af89b2453e0f7546 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c039346a7c81908d94081b666e1d79 |
completed | March 22, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1135303bc81909f78f6d8d39c7de6 |
completed | March 23, 2026, 10:17 a.m. |
| NEDg | Description generation | batch_69c11449a00081908e8e91790079da93 |
completed | March 23, 2026, 10:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c114c85c0c8190934adc20ddd1898f |
completed | March 23, 2026, 10:24 a.m. |
Created at: March 22, 2026, 4:01 p.m.