Triple

T16246043
Position Surface form Disambiguated ID Type / Status
Subject Cinsault E394373 entity
Predicate hasSynonym P3575 FINISHED
Object Marroquin
Marroquin is an alternative name for the Cinsault grape variety, a red wine grape widely used in Mediterranean and rosé wines.
E1203129 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: Marroquin | Statement: [Cinsault, hasSynonym, Marroquin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marroquin
Context triple: [Cinsault, hasSynonym, Marroquin]
  • A. Mascarille
    Mascarille is a comic valet character in Molière’s play *Les Précieuses ridicules*, known for his affected manners and satirical portrayal of social pretension.
  • B. Joya
    Joya is the surname of Malalai Joya, a prominent Afghan activist and former parliamentarian known for her outspoken criticism of warlords and the Taliban.
  • C. Burque
    Burque is a colloquial nickname commonly used to refer to the city of Albuquerque, New Mexico.
  • D. Roisel
    Roisel is a small commune in the Somme department of northern France, situated within the historical region of Picardy.
  • E. Boticas
    Boticas is a town in northern Portugal that serves as the seat and main population center of the surrounding Boticas Municipality.
  • 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: Marroquin
Triple: [Cinsault, hasSynonym, Marroquin]
Generated description
Marroquin is an alternative name for the Cinsault grape variety, a red wine grape widely used in Mediterranean and rosé wines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marroquin
Target entity description: Marroquin is an alternative name for the Cinsault grape variety, a red wine grape widely used in Mediterranean and rosé wines.
  • A. Mascarille
    Mascarille is a comic valet character in Molière’s play *Les Précieuses ridicules*, known for his affected manners and satirical portrayal of social pretension.
  • B. Joya
    Joya is the surname of Malalai Joya, a prominent Afghan activist and former parliamentarian known for her outspoken criticism of warlords and the Taliban.
  • C. Burque
    Burque is a colloquial nickname commonly used to refer to the city of Albuquerque, New Mexico.
  • D. Roisel
    Roisel is a small commune in the Somme department of northern France, situated within the historical region of Picardy.
  • E. Boticas
    Boticas is a town in northern Portugal that serves as the seat and main population center of the surrounding Boticas Municipality.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24561d250819096f709ea8751fcb9 completed April 17, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ee135b881909cc1b6919bc7af29 completed May 10, 2026, 4:51 a.m.
NEDg Description generation batch_6a00132b0ca4819080f45f929ac39eca completed May 10, 2026, 5:10 a.m.
NED2 Entity disambiguation (via description) batch_6a00138ca1b48190bd7d79699b9e2114 completed May 10, 2026, 5:11 a.m.
Created at: April 10, 2026, 5:04 a.m.