Triple

T18668663
Position Surface form Disambiguated ID Type / Status
Subject La Mancha wines E456408 entity
Predicate grapeVariety P975 FINISHED
Object Bobal
Bobal is a red wine grape variety from Spain, particularly associated with the central and eastern regions, known for producing deeply colored, fruity wines with good acidity.
 E1336800 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: Bobal | Statement: [La Mancha wines, grapeVariety, Bobal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bobal
Context triple: [La Mancha wines, grapeVariety, Bobal]
  • A. Ballu
    Ballu is a French surname most notably associated with architect Albert Ballu.
  • B. Baydhaba
    Baydhaba is a major city in southwestern Somalia that serves as the capital of the Bay region and an important political and commercial center.
  • C. Bhalesi
    Bhalesi is a regional dialect of the Western Pahari language spoken in parts of the western Himalayan region of India.
  • D. Bala
    Bala is a small community in Ontario, Canada, known for its scenic lakeside setting in the Muskoka region and its popular Bala Cranberry Festival.
  • E. Bala
    Bala is a small historic market town in Gwynedd, Wales, best known for its proximity to Llyn Tegid (Bala Lake), the largest natural lake in Wales.
  • 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: Bobal
Triple: [La Mancha wines, grapeVariety, Bobal]
Generated description
Bobal is a red wine grape variety from Spain, particularly associated with the central and eastern regions, known for producing deeply colored, fruity wines with good acidity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bobal
Target entity description: Bobal is a red wine grape variety from Spain, particularly associated with the central and eastern regions, known for producing deeply colored, fruity wines with good acidity.
  • A. Ballu
    Ballu is a French surname most notably associated with architect Albert Ballu.
  • B. Baydhaba
    Baydhaba is a major city in southwestern Somalia that serves as the capital of the Bay region and an important political and commercial center.
  • C. Bhalesi
    Bhalesi is a regional dialect of the Western Pahari language spoken in parts of the western Himalayan region of India.
  • D. Bala
    Bala is a small community in Ontario, Canada, known for its scenic lakeside setting in the Muskoka region and its popular Bala Cranberry Festival.
  • E. Bala
    Bala is a small historic market town in Gwynedd, Wales, best known for its proximity to Llyn Tegid (Bala Lake), the largest natural lake in Wales.
  • 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_69d8d38f72b4819090a935175d9ca8af completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e556b0502881909ea05f2746163746 completed April 19, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a05172a6ff8819096f1029a0cdc2527 completed May 14, 2026, 12:28 a.m.
NEDg Description generation batch_6a051ee1ef40819080cf0d0b6ad3cfb7 completed May 14, 2026, 1:01 a.m.
NED2 Entity disambiguation (via description) batch_6a0520ae1dd08190b3d418b6c87443b2 completed May 14, 2026, 1:09 a.m.
Created at: April 10, 2026, 11:48 a.m.