Triple

T22505448
Position Surface form Disambiguated ID Type / Status
Subject Editis E556376 entity
Predicate ownsImprint P139315 FINISHED
Object Bordas
Bordas is a French publishing imprint known for its educational books and learning materials, particularly school textbooks and study guides.
 E1540657 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: Bordas | Statement: [Editis, ownsImprint, Bordas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bordas
Context triple: [Editis, ownsImprint, Bordas]
  • A. Grens
    Grens is a small municipality in the canton of Vaud in western Switzerland, situated within the Nyon District near Lake Geneva.
  • B. Grenz
    Grenz is a surname most notably associated with Stanley Grenz, a prominent late 20th-century evangelical theologian and author.
  • C. Bordin
    Bordin is the namesake of the French academic distinction known as the Prix Bordin, awarded by the Institut de France for outstanding scholarly work.
  • D. Bordils
    Bordils is a small municipality in the province of Girona, Catalonia, Spain, known for its rural character and location in the Gironès comarca.
  • E. Frontiere
    Frontiere is a surname most notably associated with Georgia Frontiere, the former majority owner of the NFL’s Los Angeles/St. Louis Rams.
  • 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: Bordas
Triple: [Editis, ownsImprint, Bordas]
Generated description
Bordas is a French publishing imprint known for its educational books and learning materials, particularly school textbooks and study guides.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bordas
Target entity description: Bordas is a French publishing imprint known for its educational books and learning materials, particularly school textbooks and study guides.
  • A. Grens
    Grens is a small municipality in the canton of Vaud in western Switzerland, situated within the Nyon District near Lake Geneva.
  • B. Grenz
    Grenz is a surname most notably associated with Stanley Grenz, a prominent late 20th-century evangelical theologian and author.
  • C. Bordin
    Bordin is the namesake of the French academic distinction known as the Prix Bordin, awarded by the Institut de France for outstanding scholarly work.
  • D. Bordils
    Bordils is a small municipality in the province of Girona, Catalonia, Spain, known for its rural character and location in the Gironès comarca.
  • E. Frontiere
    Frontiere is a surname most notably associated with Georgia Frontiere, the former majority owner of the NFL’s Los Angeles/St. Louis Rams.
  • 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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15d5bf0f0819093426d83ebd80ef0 completed April 29, 2026, 1:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b17e860888190b5c74df43a9890e9 completed May 18, 2026, 1:45 p.m.
NEDg Description generation batch_6a0b18ad4f608190a6947aeb790d8be7 completed May 18, 2026, 1:48 p.m.
NED2 Entity disambiguation (via description) batch_6a0b1979fe088190a06edb086d6b2b46 completed May 18, 2026, 1:51 p.m.
Created at: April 16, 2026, 8:50 p.m.