Triple

T8689916
Position Surface form Disambiguated ID Type / Status
Subject Dão wine region E206259 entity
Predicate primaryWhiteGrape P975 FINISHED
Object Encruzado
Encruzado is a high-quality Portuguese white grape variety from the Dão region, known for producing structured, age-worthy wines with floral, citrus, and mineral character.
 E750640 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: Encruzado | Statement: [Dão wine region, primaryWhiteGrape, Encruzado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Encruzado
Context triple: [Dão wine region, primaryWhiteGrape, Encruzado]
  • A. Encruzilhada
    Encruzilhada is a neighborhood in the city of Recife, Brazil, known for its busy commercial areas and urban residential character.
  • B. Carvallo
    Carvallo is a surname, likely a variant of Carvajal, found in Spanish- and Portuguese-speaking regions.
  • C. Rearcross
    Rearcross is a small rural village in County Tipperary, Ireland, situated in a scenic hilly area near the Silvermine Mountains.
  • D. Vale do Lobo
    Vale do Lobo is a luxury seaside resort area in Portugal’s Algarve region, known for its golf courses, beaches, and upscale holiday properties.
  • E. Cadaval
    Cadaval is a municipality and town in western Portugal known for its agricultural landscape and proximity to the Montejunto mountain range.
  • 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: Encruzado
Triple: [Dão wine region, primaryWhiteGrape, Encruzado]
Generated description
Encruzado is a high-quality Portuguese white grape variety from the Dão region, known for producing structured, age-worthy wines with floral, citrus, and mineral character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Encruzado
Target entity description: Encruzado is a high-quality Portuguese white grape variety from the Dão region, known for producing structured, age-worthy wines with floral, citrus, and mineral character.
  • A. Encruzilhada
    Encruzilhada is a neighborhood in the city of Recife, Brazil, known for its busy commercial areas and urban residential character.
  • B. Carvallo
    Carvallo is a surname, likely a variant of Carvajal, found in Spanish- and Portuguese-speaking regions.
  • C. Rearcross
    Rearcross is a small rural village in County Tipperary, Ireland, situated in a scenic hilly area near the Silvermine Mountains.
  • D. Vale do Lobo
    Vale do Lobo is a luxury seaside resort area in Portugal’s Algarve region, known for its golf courses, beaches, and upscale holiday properties.
  • E. Cadaval
    Cadaval is a municipality and town in western Portugal known for its agricultural landscape and proximity to the Montejunto mountain range.
  • 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_69ca835481fc819084e33d3bc883bfa6 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5734602c81909a0687e00f4a4a26 completed March 31, 2026, 11:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3df73b88190b67138ee5129de8b completed April 2, 2026, 10:55 p.m.
NEDg Description generation batch_69cef52200788190a8173da1aaa4f681 completed April 2, 2026, 11 p.m.
NED2 Entity disambiguation (via description) batch_69cef6c109b08190bb29ce2747f3ccb7 completed April 2, 2026, 11:07 p.m.
Created at: March 30, 2026, 6:33 p.m.