Triple

T8534952
Position Surface form Disambiguated ID Type / Status
Subject Vinho Verde region E202054 entity
Predicate mainGrapeVariety P975 FINISHED
Object Azal
Azal is a white grape variety from Portugal, best known for producing light, crisp wines in the Vinho Verde region.
 E740602 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: Azal | Statement: [Vinho Verde region, mainGrapeVariety, Azal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Azal
Context triple: [Vinho Verde region, mainGrapeVariety, Azal]
  • A. Zahara
    Zahara is the adopted daughter of actors Angelina Jolie and Brad Pitt, known for her appearances with her family in the public eye.
  • B. Fairuza
    Fairuza is a feminine given name most famously borne by American actress Fairuza Balk.
  • C. Lali
    Lali is the official mascot character created for the 2017 World Aquatics Championships held in Budapest.
  • D. Aziza
    Aziza is a traditional deity revered in Urhobo religion, associated with spiritual protection and guidance within the culture of the Urhobo people of Nigeria.
  • E. Unaizah
    Unaizah is a historic oasis city in central Saudi Arabia’s Qassim region, known for its date farms, traditional markets, and cultural heritage.
  • 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: Azal
Triple: [Vinho Verde region, mainGrapeVariety, Azal]
Generated description
Azal is a white grape variety from Portugal, best known for producing light, crisp wines in the Vinho Verde region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Azal
Target entity description: Azal is a white grape variety from Portugal, best known for producing light, crisp wines in the Vinho Verde region.
  • A. Zahara
    Zahara is the adopted daughter of actors Angelina Jolie and Brad Pitt, known for her appearances with her family in the public eye.
  • B. Fairuza
    Fairuza is a feminine given name most famously borne by American actress Fairuza Balk.
  • C. Lali
    Lali is the official mascot character created for the 2017 World Aquatics Championships held in Budapest.
  • D. Aziza
    Aziza is a traditional deity revered in Urhobo religion, associated with spiritual protection and guidance within the culture of the Urhobo people of Nigeria.
  • E. Unaizah
    Unaizah is a historic oasis city in central Saudi Arabia’s Qassim region, known for its date farms, traditional markets, and cultural heritage.
  • 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_69cbe6a0ccd4819097b41d0dfb1c5018 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.