Triple

T3827479
Position Surface form Disambiguated ID Type / Status
Subject Cahors AOC E88724 entity
Predicate grapeVarietyAllowed P37246 FINISHED
Object Tannat
Tannat is a robust, tannin-rich red wine grape variety traditionally associated with southwestern France and now also widely grown in Uruguay and other New World regions.
 E391436 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: Tannat | Statement: [Cahors AOC, grapeVarietyAllowed, Tannat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tannat
Context triple: [Cahors AOC, grapeVarietyAllowed, Tannat]
  • A. Tann
    Tann is a small municipality in the Rottal-Inn district of Bavaria, Germany, known for its rural character and proximity to the town of Simbach am Inn.
  • B. Tartegnin
    Tartegnin is a small wine-producing municipality in the canton of Vaud in western Switzerland, situated above Lake Geneva in the La Côte region.
  • C. Tanno
    Tanno is a district or locality within the city of Kitami in Hokkaido, Japan.
  • D. Tzia
    Tzia is an alternative name for Kea, a Greek island in the Cyclades known for its traditional villages, beaches, and proximity to Athens.
  • E. Tura
    Tura is a prominent town in the Indian state of Meghalaya, serving as a major administrative, cultural, and economic center in the Garo Hills region.
  • 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: Tannat
Triple: [Cahors AOC, grapeVarietyAllowed, Tannat]
Generated description
Tannat is a robust, tannin-rich red wine grape variety traditionally associated with southwestern France and now also widely grown in Uruguay and other New World regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tannat
Target entity description: Tannat is a robust, tannin-rich red wine grape variety traditionally associated with southwestern France and now also widely grown in Uruguay and other New World regions.
  • A. Tann
    Tann is a small municipality in the Rottal-Inn district of Bavaria, Germany, known for its rural character and proximity to the town of Simbach am Inn.
  • B. Tartegnin
    Tartegnin is a small wine-producing municipality in the canton of Vaud in western Switzerland, situated above Lake Geneva in the La Côte region.
  • C. Tanno
    Tanno is a district or locality within the city of Kitami in Hokkaido, Japan.
  • D. Tzia
    Tzia is an alternative name for Kea, a Greek island in the Cyclades known for its traditional villages, beaches, and proximity to Athens.
  • E. Tura
    Tura is a prominent town in the Indian state of Meghalaya, serving as a major administrative, cultural, and economic center in the Garo Hills region.
  • 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_69aed9538cf881909d9ce8ca4ac7c18c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeb66c0bc819084d9a9fe32e8433a completed March 9, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb51e6248190b242f9e498a320d3 completed March 14, 2026, 6:08 a.m.
NEDg Description generation batch_69b4fbc972ec81908fb0d53e851236c4 completed March 14, 2026, 6:10 a.m.
NED2 Entity disambiguation (via description) batch_69b4ffd256c08190a0cfee3bd0dafda3 completed March 14, 2026, 6:27 a.m.
Created at: March 9, 2026, 3:17 p.m.