Triple
T20685764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nusa Dua |
E508411
|
entity |
| Predicate | hasHotel |
P4287
|
FINISHED |
| Object |
Conrad Bali
Conrad Bali is a luxury beachfront resort in Nusa Dua, Bali, known for its upscale accommodations, extensive pools, and oceanfront setting.
|
E1445928
|
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: Conrad Bali | Statement: [Nusa Dua, hasHotel, Conrad Bali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Conrad Bali Context triple: [Nusa Dua, hasHotel, Conrad Bali]
-
A.
Conrad
Conrad is a fictional character portrayed by American actor Lucas Black, known for his roles in film and television dramas.
-
B.
Conrad
Conrad is a character in Horace Walpole’s pioneering Gothic novel "The Castle of Otranto," whose fate helps set the story’s dark and supernatural events in motion.
-
C.
Conrad
Conrad is a masculine given name of Germanic origin, commonly used in various European countries and the English-speaking world.
-
D.
Conrad
Conrad is the daring pirate hero of Lord Byron’s narrative poem “Le Corsaire,” known for his rebellious spirit and tragic romantic fate.
-
E.
Conrad
Conrad is one of the main child protagonists in Dr. Seuss's "The Cat in the Hat," known for his cautious and rule-abiding nature contrasted with the Cat's chaotic antics.
- 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: Conrad Bali Triple: [Nusa Dua, hasHotel, Conrad Bali]
Generated description
Conrad Bali is a luxury beachfront resort in Nusa Dua, Bali, known for its upscale accommodations, extensive pools, and oceanfront setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Conrad Bali Target entity description: Conrad Bali is a luxury beachfront resort in Nusa Dua, Bali, known for its upscale accommodations, extensive pools, and oceanfront setting.
-
A.
Conrad
Conrad is a fictional character portrayed by American actor Lucas Black, known for his roles in film and television dramas.
-
B.
Conrad
Conrad is the daring pirate hero of Lord Byron’s narrative poem “Le Corsaire,” known for his rebellious spirit and tragic romantic fate.
-
C.
Conrad
Conrad is one of the main child protagonists in Dr. Seuss's "The Cat in the Hat," known for his cautious and rule-abiding nature contrasted with the Cat's chaotic antics.
-
D.
Conrad
Conrad is a character in Horace Walpole’s pioneering Gothic novel "The Castle of Otranto," whose fate helps set the story’s dark and supernatural events in motion.
-
E.
Conrad
Conrad is a masculine given name of Germanic origin, commonly used in various European countries and the English-speaking world.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6beabf72881909771b6c6a81276d6 |
completed | April 21, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08d7de62a8819088a43b43dc7873ec |
completed | May 16, 2026, 8:47 p.m. |
| NEDg | Description generation | batch_6a08da13f584819090d491c821e12f29 |
completed | May 16, 2026, 8:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08daae48048190a71c46941d2a5d36 |
completed | May 16, 2026, 8:59 p.m. |
Created at: April 16, 2026, 11:45 a.m.