Triple

T30074408
Position Surface form Disambiguated ID Type / Status
Subject Franconian wine region E764277 entity
Predicate hasFamousVineyard P25137 FINISHED
Object Würzburger Stein
Würzburger Stein is a renowned historic vineyard on steep, south-facing slopes above Würzburg in Germany, celebrated for producing high-quality Franconian wines, especially Silvaner.
 E1899813 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: Würzburger Stein | Statement: [Franconian wine region, hasFamousVineyard, Würzburger Stein]
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: Würzburger Stein
Triple: [Franconian wine region, hasFamousVineyard, Würzburger Stein]
Generated description
Würzburger Stein is a renowned historic vineyard on steep, south-facing slopes above Würzburg in Germany, celebrated for producing high-quality Franconian wines, especially Silvaner.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasFamousVineyard
Context triple: [Franconian wine region, hasFamousVineyard, Würzburger Stein]
  • A. hasVineyards chosen
    Indicates that one entity possesses, contains, or is associated with vineyards used for growing grapevines.
  • B. hasWinery
    Indicates a relationship where a subject owns, operates, or is associated with a particular winery.
  • C. hasVineyardsNear
    Indicates that one entity possesses or is associated with vineyards located in close geographic proximity to another entity.
  • D. hasVineyardType
    Indicates the specific type or classification of a vineyard associated with an entity.
  • E. hasWinemakingFacility
    Indicates that an entity possesses or is associated with a facility where winemaking activities are carried out.
  • 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_69f22472eee081909791dc372aa766e9 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f7b0e5744c8190a22c1e1d6fcfa466 completed May 3, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27431ce25081908a8ce6684110936f completed June 8, 2026, 10:33 p.m.
NEDg Description generation batch_6a2743bb3a8081908e963d8e8f4a9abc completed June 8, 2026, 10:35 p.m.
NED2 Entity disambiguation (via description) batch_6a2744c1a1d881908e1e9a00a065a253 completed June 8, 2026, 10:40 p.m.
PD Predicate disambiguation batch_69f7ab70d034819080295628497d8582 completed May 3, 2026, 8:09 p.m.
Created at: April 29, 2026, 7:01 p.m.