Triple

T15353391
Position Surface form Disambiguated ID Type / Status
Subject Provence wine region E367109 entity
Predicate hasSubregion P285 FINISHED
Object Pierrevert
Pierrevert is a French wine appellation in southeastern Provence known for producing rosé, red, and white wines influenced by both Mediterranean and Alpine climates.
 E1151530 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: Pierrevert | Statement: [Provence wine region, hasSubregion, Pierrevert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pierrevert
Context triple: [Provence wine region, hasSubregion, Pierrevert]
  • A. Vallangoujard
    Vallangoujard is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
  • B. Raspail
    Raspail is a Paris Métro station in the 14th arrondissement that serves as an interchange between lines 4 and 6.
  • C. Lierneux
    Lierneux is a rural municipality in the province of Liège in Wallonia, Belgium, known for its forests, valleys, and quiet countryside.
  • D. Guy Dufaux
    Guy Dufaux is a Canadian cinematographer known for his work on numerous feature films and television productions, including the adaptation of "Barney's Version."
  • E. Cortébert
    Cortébert is a small municipality and village in the French-speaking Jura bernois region of the canton of Bern in Switzerland.
  • 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: Pierrevert
Triple: [Provence wine region, hasSubregion, Pierrevert]
Generated description
Pierrevert is a French wine appellation in southeastern Provence known for producing rosé, red, and white wines influenced by both Mediterranean and Alpine climates.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pierrevert
Target entity description: Pierrevert is a French wine appellation in southeastern Provence known for producing rosé, red, and white wines influenced by both Mediterranean and Alpine climates.
  • A. Vallangoujard
    Vallangoujard is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
  • B. Raspail
    Raspail is a Paris Métro station in the 14th arrondissement that serves as an interchange between lines 4 and 6.
  • C. Lierneux
    Lierneux is a rural municipality in the province of Liège in Wallonia, Belgium, known for its forests, valleys, and quiet countryside.
  • D. Guy Dufaux
    Guy Dufaux is a Canadian cinematographer known for his work on numerous feature films and television productions, including the adaptation of "Barney's Version."
  • E. Cortébert
    Cortébert is a small municipality and village in the French-speaking Jura bernois region of the canton of Bern in Switzerland.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e2a8e88819093e4b7479b2c80cd completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01ff42d48190897e6653d2b4f8a4 completed May 9, 2026, 9:44 a.m.
NEDg Description generation batch_69ff036cf4c481909eaab72ee97fbf6c completed May 9, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_69ff03d829d48190990412a84f4376dc completed May 9, 2026, 9:52 a.m.
Created at: April 10, 2026, 3:18 a.m.