Triple

T8534968
Position Surface form Disambiguated ID Type / Status
Subject Vinho Verde region E202054 entity
Predicate subregion P747 FINISHED
Object Paiva
Paiva is a wine-producing subregion within Portugal’s Vinho Verde appellation, known for its fresh, light-bodied white wines.
 E740609 NE FINISHED

How this triple was built (4 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: Paiva | Statement: [Vinho Verde region, subregion, Paiva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paiva
Context triple: [Vinho Verde region, subregion, Paiva]
  • A. Dias
    Dias is a Portuguese-language surname shared by numerous individuals, including notable figures in arts, sports, and public life.
  • B. Daag
    Daag is a 1973 Hindi romantic drama film, directed by Yash Chopra and starring Rajesh Khanna and Sharmila Tagore, known for its music and emotionally charged storyline.
  • C. Ryti
    Ryti is the surname of Risto Ryti, who served as President of Finland during World War II.
  • D. Rano
    Rano is a historic town and traditional emirate in northern Nigeria, located within Kano State.
  • E. Rano
    Rano is a dialect of the Uripiv-Wala-Rano-Atchin language cluster spoken in Vanuatu.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Paiva
Triple: [Vinho Verde region, subregion, Paiva]
Generated description
Paiva is a wine-producing subregion within Portugal’s Vinho Verde appellation, known for its fresh, light-bodied white wines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paiva
Target entity description: Paiva is a wine-producing subregion within Portugal’s Vinho Verde appellation, known for its fresh, light-bodied white wines.
  • A. Dias
    Dias is a Portuguese-language surname shared by numerous individuals, including notable figures in arts, sports, and public life.
  • B. Daag
    Daag is a 1973 Hindi romantic drama film, directed by Yash Chopra and starring Rajesh Khanna and Sharmila Tagore, known for its music and emotionally charged storyline.
  • C. Ryti
    Ryti is the surname of Risto Ryti, who served as President of Finland during World War II.
  • D. Rano
    Rano is a historic town and traditional emirate in northern Nigeria, located within Kano State.
  • E. Rano
    Rano is a dialect of the Uripiv-Wala-Rano-Atchin language cluster spoken in Vanuatu.
  • F. None of above. chosen

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_69ca832355b08190b8b6a4ab4a4a3554 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6a295c88190a432a060ee73f04e completed March 31, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d8332cc819083c86e0dc58bcc37 completed April 2, 2026, 1:22 p.m.
NEDg Description generation batch_69ce6f02fabc819093b95e0d318c5649 completed April 2, 2026, 1:28 p.m.
NED2 Entity disambiguation (via description) batch_69ce6f9b12148190be55b3f5f2b518d9 completed April 2, 2026, 1:31 p.m.
Created at: March 30, 2026, 6:17 p.m.