Triple

T10509697
Position Surface form Disambiguated ID Type / Status
Subject American University of Paris E247879 entity
Predicate abbreviation P43 FINISHED
Object AUP
AUP is a private, English-language liberal arts university located in Paris, France, known for its international student body and global-focused curriculum.
 E868038 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: AUP | Statement: [American University of Paris, abbreviation, AUP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AUP
Context triple: [American University of Paris, abbreviation, AUP]
  • A. AUP
    AUP is the abbreviated name for the Army University Press, the U.S. Army’s primary publishing and educational research organization.
  • B. AUF
    AUF is the youth wing of the Norwegian Labour Party, known in Norwegian as Arbeidernes Ungdomsfylking.
  • C. AUF
    AUF is the governing body responsible for organizing and regulating football (soccer) in Uruguay, including its national teams and domestic competitions.
  • D. AUF
    AUF (Agence universitaire de la Francophonie) is an international association of French-speaking higher education and research institutions that promotes academic cooperation and the Francophone academic community worldwide.
  • E. AUL
    AUL is the ICAO airline designator assigned to the Russian carrier Smartavia.
  • 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: AUP
Triple: [American University of Paris, abbreviation, AUP]
Generated description
AUP is a private, English-language liberal arts university located in Paris, France, known for its international student body and global-focused curriculum.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AUP
Target entity description: AUP is a private, English-language liberal arts university located in Paris, France, known for its international student body and global-focused curriculum.
  • A. AUP
    AUP is the abbreviated name for the Army University Press, the U.S. Army’s primary publishing and educational research organization.
  • B. AUF
    AUF is the youth wing of the Norwegian Labour Party, known in Norwegian as Arbeidernes Ungdomsfylking.
  • C. AUF
    AUF (Agence universitaire de la Francophonie) is an international association of French-speaking higher education and research institutions that promotes academic cooperation and the Francophone academic community worldwide.
  • D. AUF
    AUF is the governing body responsible for organizing and regulating football (soccer) in Uruguay, including its national teams and domestic competitions.
  • E. AUL
    AUL is the ICAO airline designator assigned to the Russian carrier Smartavia.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509b359ac8190b3683cc6b9c70a71 completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dcee1db081908c791867e2438d30 completed April 10, 2026, 11:20 a.m.
NEDg Description generation batch_69d8e8ca94508190a2a6beca7f01fbd8 completed April 10, 2026, 12:10 p.m.
NED2 Entity disambiguation (via description) batch_69d9020bce488190b78e555cdd5caec4 completed April 10, 2026, 1:58 p.m.
Created at: April 6, 2026, 12:27 p.m.