Triple

T348026
Position Surface form Disambiguated ID Type / Status
Subject Bordeaux E6982 entity
Predicate hasSubregion P285 FINISHED
Object Graves
Graves is a renowned wine-producing subregion on the left bank of Bordeaux, France, famous for its gravelly soils and high-quality red and white wines.
 E44143 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: Graves | Statement: [Bordeaux, hasSubregion, Graves]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Graves
Context triple: [Bordeaux, hasSubregion, Graves]
  • A. Blatch
    Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
  • B. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • C. Blaustein
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • D. Haggith
    Haggith is a lesser-known wife of King David in the Hebrew Bible and the mother of his son Adonijah.
  • E. Barlow
    Barlow is a surname most notably associated with John Perry Barlow, the American poet, essayist, and co-founder of the Electronic Frontier Foundation.
  • 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: Graves
Triple: [Bordeaux, hasSubregion, Graves]
Generated description
Graves is a renowned wine-producing subregion on the left bank of Bordeaux, France, famous for its gravelly soils and high-quality red and white wines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Graves
Target entity description: Graves is a renowned wine-producing subregion on the left bank of Bordeaux, France, famous for its gravelly soils and high-quality red and white wines.
  • A. Blatch
    Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
  • B. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • C. Blaustein
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • D. Haggith
    Haggith is a lesser-known wife of King David in the Hebrew Bible and the mother of his son Adonijah.
  • E. Barlow
    Barlow is a surname most notably associated with John Perry Barlow, the American poet, essayist, and co-founder of the Electronic Frontier Foundation.
  • 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_69a2e7951ba08190960e90823b5078f3 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eb1c1c908190b3a01de893207ed1 completed Feb. 28, 2026, 1:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3d7ecd23881909e10bb84f266d2d1 completed March 1, 2026, 6:08 a.m.
NEDg Description generation batch_69a3d880d8348190964bcd283550aba8 completed March 1, 2026, 6:11 a.m.
NED2 Entity disambiguation (via description) batch_69a3d94e1aac819089d6b5dc44eeed11 completed March 1, 2026, 6:14 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.