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.