Triple

T11053017
Position Surface form Disambiguated ID Type / Status
Subject Université Paris 1 Panthéon-Sorbonne E261303 entity
Predicate shortName P43 FINISHED
Object Paris 1
Paris 1 is a leading French public research university in Paris, renowned for its programs in law, economics, humanities, and social sciences.
 E901456 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: Paris 1 | Statement: [Université Paris 1 Panthéon-Sorbonne, shortName, Paris 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paris 1
Context triple: [Université Paris 1 Panthéon-Sorbonne, shortName, Paris 1]
  • A. Paris Bar
    The Paris Bar is the professional association and regulatory body for lawyers practicing in Paris, France.
  • B. Paris Qualles
    Paris Qualles is an American television and film screenwriter and producer known for his work on socially conscious dramas and biographical projects.
  • C. Paris 3
    Paris 3 is a French public university in Paris, known for its focus on humanities, languages, arts, and social sciences as part of the Sorbonne university group.
  • D. Parisii
    The Parisii were a Celtic tribe of the Iron Age and Roman period who lived in the area of present-day Paris along the Seine River.
  • E. Parigi
    Parigi is a coastal town that serves as the administrative center of Parigi Moutong Regency in Central Sulawesi, Indonesia.
  • 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: Paris 1
Triple: [Université Paris 1 Panthéon-Sorbonne, shortName, Paris 1]
Generated description
Paris 1 is a leading French public research university in Paris, renowned for its programs in law, economics, humanities, and social sciences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paris 1
Target entity description: Paris 1 is a leading French public research university in Paris, renowned for its programs in law, economics, humanities, and social sciences.
  • A. Paris Bar
    The Paris Bar is the professional association and regulatory body for lawyers practicing in Paris, France.
  • B. Paris Qualles
    Paris Qualles is an American television and film screenwriter and producer known for his work on socially conscious dramas and biographical projects.
  • C. Paris 3
    Paris 3 is a French public university in Paris, known for its focus on humanities, languages, arts, and social sciences as part of the Sorbonne university group.
  • D. Parisii
    The Parisii were a Celtic tribe of the Iron Age and Roman period who lived in the area of present-day Paris along the Seine River.
  • E. Parigi
    Parigi is a coastal town that serves as the administrative center of Parigi Moutong Regency in Central Sulawesi, Indonesia.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7986d49e0819096c9e96b2ea1b38b completed April 9, 2026, 12:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3aa1c2d9c8190959e28ccef4e0f6d completed April 18, 2026, 3:58 p.m.
NEDg Description generation batch_69e3ad0379888190b2f56d36d79bf97d completed April 18, 2026, 4:10 p.m.
NED2 Entity disambiguation (via description) batch_69e3b20f20bc8190a848c6fca8e2427f completed April 18, 2026, 4:32 p.m.
Created at: April 8, 2026, 9:26 p.m.