Triple
T10182534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sula Vineyards |
E236821
|
entity |
| Predicate | notableBrand |
P1500
|
FINISHED |
| Object |
Sula Rasa
Sula Rasa is a premium Indian red wine produced by Sula Vineyards, known for its rich, full-bodied character and oak-aged complexity.
|
E845792
|
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: Sula Rasa | Statement: [Sula Vineyards, notableBrand, Sula Rasa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sula Rasa Context triple: [Sula Vineyards, notableBrand, Sula Rasa]
-
A.
Sula sula
Sula sula, commonly known as the red-footed booby, is a tropical seabird species recognized for its distinctive red feet and widespread distribution across oceans.
-
B.
Shugni
Shugni is an Eastern Iranian language spoken primarily in the Badakhshan region of Tajikistan and Afghanistan by the Shughni people.
-
C.
Serliana
Serliana is a classical architectural window motif featuring a large central arched opening flanked by two shorter rectangular openings, widely associated with Renaissance and Palladian design.
-
D.
Surami
Surami is a historic town in central Georgia known for its medieval fortress and role as a transport and resort hub in the Shida Kartli region.
-
E.
Rula
Rula is a feminine given name used in various cultures, notably in the Middle East.
- 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: Sula Rasa Triple: [Sula Vineyards, notableBrand, Sula Rasa]
Generated description
Sula Rasa is a premium Indian red wine produced by Sula Vineyards, known for its rich, full-bodied character and oak-aged complexity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sula Rasa Target entity description: Sula Rasa is a premium Indian red wine produced by Sula Vineyards, known for its rich, full-bodied character and oak-aged complexity.
-
A.
Sula sula
Sula sula, commonly known as the red-footed booby, is a tropical seabird species recognized for its distinctive red feet and widespread distribution across oceans.
-
B.
Shugni
Shugni is an Eastern Iranian language spoken primarily in the Badakhshan region of Tajikistan and Afghanistan by the Shughni people.
-
C.
Serliana
Serliana is a classical architectural window motif featuring a large central arched opening flanked by two shorter rectangular openings, widely associated with Renaissance and Palladian design.
-
D.
Surami
Surami is a historic town in central Georgia known for its medieval fortress and role as a transport and resort hub in the Shida Kartli region.
-
E.
Rula
Rula is a feminine given name used in various cultures, notably in the Middle East.
- 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_69ca84d7260c8190bfbec36762943f37 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cded3408b88190a7d981a6dcea48d9 |
completed | April 2, 2026, 4:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3013f0c54819092ee9c2c46fdf69e |
completed | April 6, 2026, 12:41 a.m. |
| NEDg | Description generation | batch_69d3028a4384819094a7daef7287e54f |
completed | April 6, 2026, 12:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d302e9d2688190bc292f8f2287c458 |
completed | April 6, 2026, 12:48 a.m. |
Created at: March 30, 2026, 9:12 p.m.