Triple

T13365711
Position Surface form Disambiguated ID Type / Status
Subject Madrid wine region E318932 entity
Predicate grapeVariety P975 FINISHED
Object Malvar
Malvar is a traditional white grape variety from central Spain, particularly associated with the Madrid region, known for producing fresh, aromatic wines.
 E1037003 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: Malvar | Statement: [Madrid wine region, grapeVariety, Malvar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Malvar
Context triple: [Madrid wine region, grapeVariety, Malvar]
  • A. Malvar
    Malvar is a Filipino surname most notably associated with General Miguel Malvar, a key revolutionary leader during the Philippine–American War.
  • B. Merlo
    Merlo is a popular tourist town in Argentina known for its mild climate, mountain scenery, and outdoor recreational activities.
  • C. Mauceri
    Mauceri is an Italian-origin surname most notably associated with conductor and musical scholar John Mauceri.
  • D. Balvín
    Balvín is a Spanish-language surname most notably associated with Colombian reggaeton singer J Balvin (José Álvaro Osorio Balvín).
  • E. Musiri
    Musiri is a town in the Indian state of Tamil Nadu, known as an agricultural and commercial center situated along the Kaveri River.
  • 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: Malvar
Triple: [Madrid wine region, grapeVariety, Malvar]
Generated description
Malvar is a traditional white grape variety from central Spain, particularly associated with the Madrid region, known for producing fresh, aromatic wines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Malvar
Target entity description: Malvar is a traditional white grape variety from central Spain, particularly associated with the Madrid region, known for producing fresh, aromatic wines.
  • A. Malvar
    Malvar is a Filipino surname most notably associated with General Miguel Malvar, a key revolutionary leader during the Philippine–American War.
  • B. Merlo
    Merlo is a popular tourist town in Argentina known for its mild climate, mountain scenery, and outdoor recreational activities.
  • C. Mauceri
    Mauceri is an Italian-origin surname most notably associated with conductor and musical scholar John Mauceri.
  • D. Balvín
    Balvín is a Spanish-language surname most notably associated with Colombian reggaeton singer J Balvin (José Álvaro Osorio Balvín).
  • E. Musiri
    Musiri is a town in the Indian state of Tamil Nadu, known as an agricultural and commercial center situated along the Kaveri River.
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69da628c71ac81908cfa36342077766e completed April 11, 2026, 3:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7267e9d608190b36f58a92d4a9964 completed May 3, 2026, 10:42 a.m.
NEDg Description generation batch_69f72807bae081909f7e66657c03b841 completed May 3, 2026, 10:48 a.m.
NED2 Entity disambiguation (via description) batch_69f728afff888190a82e3d4f4fad717b completed May 3, 2026, 10:51 a.m.
Created at: April 9, 2026, 9:32 p.m.