Triple
T36664161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Popovača |
E905210
|
entity |
| Predicate | hasLocalWineLabel |
P42729
|
FINISHED |
| Object |
Moslavina wines
Moslavina wines are regional Croatian wines produced in the Moslavina area, known for their distinctive local grape varieties and traditional winemaking.
|
E2194068
|
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: Moslavina wines | Statement: [Popovača, hasLocalWineLabel, Moslavina wines]
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: Moslavina wines Triple: [Popovača, hasLocalWineLabel, Moslavina wines]
Generated description
Moslavina wines are regional Croatian wines produced in the Moslavina area, known for their distinctive local grape varieties and traditional winemaking.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalWineLabel Context triple: [Popovača, hasLocalWineLabel, Moslavina wines]
-
A.
hasWineDenomination
chosen
Indicates that a wine is classified under a specific official denomination or appellation.
-
B.
hasWineBrand
Indicates a relationship where an entity is associated with or offers a specific wine brand.
-
C.
hasWinery
Indicates a relationship where a subject owns, operates, or is associated with a particular winery.
-
D.
hasWineInstitution
Indicates that an entity is associated with, managed by, or belongs to a specific wine-related institution (such as a winery, wine school, or wine organization).
-
E.
hasWineCategory
Indicates that one entity is classified under, or associated with, a particular category or type of wine.
- 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_69f76e6e3b908190970251b30f76ad71 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff691f5ae481908597ce245188d31c |
completed | May 9, 2026, 5:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3a20d4a68081908549da0796ff993f |
completed | June 23, 2026, 5:59 a.m. |
| NEDg | Description generation | batch_6a3a21b943f48190a6c3dd223c23969a |
completed | June 23, 2026, 6:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3a22cbc72c8190a4e06dd44fdc2242 |
completed | June 23, 2026, 6:08 a.m. |
| PD | Predicate disambiguation | batch_69ff67ceeeb081909fd00cad166c4b6a |
completed | May 9, 2026, 4:58 p.m. |
Created at: May 3, 2026, 4:12 p.m.