Triple
T33146318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sula Dindori Reserve |
E848308
|
entity |
| Predicate | vineyardSource |
P44919
|
FINISHED |
| Object |
Dindori vineyards of Nashik
Dindori vineyards of Nashik are premium wine-growing estates in Maharashtra’s Nashik region, known for producing high-quality grapes used in some of India’s notable reserve wines.
|
E2037587
|
NE FINISHED |
How this triple was built (3 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: Dindori vineyards of Nashik | Statement: [Sula Dindori Reserve, vineyardSource, Dindori vineyards of Nashik]
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: Dindori vineyards of Nashik Triple: [Sula Dindori Reserve, vineyardSource, Dindori vineyards of Nashik]
Generated description
Dindori vineyards of Nashik are premium wine-growing estates in Maharashtra’s Nashik region, known for producing high-quality grapes used in some of India’s notable reserve wines.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vineyardSource Context triple: [Sula Dindori Reserve, vineyardSource, Dindori vineyards of Nashik]
-
A.
vineyardName
Indicates the specific name assigned to a vineyard in the relationship.
-
B.
grapeSource
chosen
Indicates that one entity is the origin or provider of grapes used by another entity.
-
C.
vineyardLocation
Indicates the geographical place where a vineyard is situated or established.
-
D.
vineyardSize
Indicates the extent or area of land occupied by a vineyard.
-
E.
producesWine
Indicates that one entity creates or manufactures wine as a product.
- F. None of above.
Provenance (6 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_69f3495a458c8190a1d34b237ba0be3f |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6db6af1d88190989810182354d60f |
completed | May 3, 2026, 5:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a351628265881908da886e4ad0fd9c2 |
completed | June 19, 2026, 10:12 a.m. |
| NEDg | Description generation | batch_6a3516dbe1988190a7f496d7b7e8a8b8 |
completed | June 19, 2026, 10:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a35178f9d508190abd1a965adb82e98 |
completed | June 19, 2026, 10:18 a.m. |
| PD | Predicate disambiguation | batch_69f6d82d068c8190940a3200ed760e38 |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:28 a.m.