Triple

T38603871
Position Surface form Disambiguated ID Type / Status
Subject Drăgășani wine region E934290 entity
Predicate grapeVariety P975 FINISHED
Object Crâmpoșie Selecționată
Crâmpoșie Selecționată is a Romanian white grape variety known for producing fresh, crisp wines with vibrant acidity, primarily cultivated in the Drăgășani region.
E2277148 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: Crâmpoșie Selecționată | Statement: [Drăgășani wine region, grapeVariety, Crâmpoșie Selecționată]
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: Crâmpoșie Selecționată
Triple: [Drăgășani wine region, grapeVariety, Crâmpoșie Selecționată]
Generated description
Crâmpoșie Selecționată is a Romanian white grape variety known for producing fresh, crisp wines with vibrant acidity, primarily cultivated in the Drăgășani region.

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_69f76ecc17688190b389b693a5927501 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcd95789ac8190898847981a92b0af completed May 7, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41eaa85d308190b74e95c3f174c698 completed June 29, 2026, 3:46 a.m.
NEDg Description generation batch_6a41ec152f388190923fbcfe62388d0c completed June 29, 2026, 3:52 a.m.
NED2 Entity disambiguation (via description) batch_6a41ed488640819081569004fb07da03 completed June 29, 2026, 3:58 a.m.
Created at: May 3, 2026, 4:32 p.m.