Triple

T31761374
Position Surface form Disambiguated ID Type / Status
Subject Central Bohemian wine region E810689 entity
Predicate hasSubregion P285 FINISHED
Object Mělník wine area
The Mělník wine area is a historic Czech wine-producing district in Central Bohemia, known especially for its vineyards along the confluence of the Elbe and Vltava rivers and its traditional white and red wines.
E1975674 NE FINISHED

How this triple was built (2 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: Mělník wine area | Statement: [Central Bohemian wine region, hasSubregion, Mělník wine area]
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: Mělník wine area
Triple: [Central Bohemian wine region, hasSubregion, Mělník wine area]
Generated description
The Mělník wine area is a historic Czech wine-producing district in Central Bohemia, known especially for its vineyards along the confluence of the Elbe and Vltava rivers and its traditional white and red wines.

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_69f348e340d48190b780fae618c51464 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6ab80e39c81908199a52549767dc9 completed May 3, 2026, 1:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b948ee8c08190a2860ec7279369e3 completed June 12, 2026, 5:09 a.m.
NEDg Description generation batch_6a2b958e9ebc81909225029c40526808 completed June 12, 2026, 5:13 a.m.
NED2 Entity disambiguation (via description) batch_6a2b961cb34081909831c49b6c0ae48f completed June 12, 2026, 5:16 a.m.
Created at: April 30, 2026, 11:31 p.m.