Triple

T11161680
Position Surface form Disambiguated ID Type / Status
Subject Université Paris 2 Panthéon-Assas E264051 entity
Predicate shortName P43 FINISHED
Object Assas
Assas is the commonly used short name for Université Paris 2 Panthéon-Assas, a prestigious French university renowned for its law and social sciences programs.
E909237 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: Assas | Statement: [Université Paris 2 Panthéon-Assas, shortName, Assas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Assas
Context triple: [Université Paris 2 Panthéon-Assas, shortName, Assas]
  • A. Asserbos
    Asserbos is a historic urban forest and public park located in the city of Assen in the Netherlands.
  • B. Ateso
    Ateso is a Nilotic language spoken primarily by the Teso people of eastern Uganda and western Kenya.
  • C. Asse
    Asse is a municipality in the Belgian province of Flemish Brabant, located just northwest of Brussels.
  • D. Yasa'ur
    Yasa'ur was a Mongol prince and military leader who played a significant role in the politics and conflicts of the Chagatai Khanate during the early 14th century.
  • E. Lesath
    Lesath is a bright blue subgiant star in the constellation Scorpius, forming part of the prominent "stinger" at the tip of the scorpion’s tail.
  • 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: Assas
Triple: [Université Paris 2 Panthéon-Assas, shortName, Assas]
Generated description
Assas is the commonly used short name for Université Paris 2 Panthéon-Assas, a prestigious French university renowned for its law and social sciences programs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Assas
Target entity description: Assas is the commonly used short name for Université Paris 2 Panthéon-Assas, a prestigious French university renowned for its law and social sciences programs.
  • A. Asserbos
    Asserbos is a historic urban forest and public park located in the city of Assen in the Netherlands.
  • B. Ateso
    Ateso is a Nilotic language spoken primarily by the Teso people of eastern Uganda and western Kenya.
  • C. Asse
    Asse is a municipality in the Belgian province of Flemish Brabant, located just northwest of Brussels.
  • D. Yasa'ur
    Yasa'ur was a Mongol prince and military leader who played a significant role in the politics and conflicts of the Chagatai Khanate during the early 14th century.
  • E. Lesath
    Lesath is a bright blue subgiant star in the constellation Scorpius, forming part of the prominent "stinger" at the tip of the scorpion’s tail.
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8832fe88190a74d81f9ed547baa completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e46375c61c8190939401f790cf1593 completed April 19, 2026, 5:09 a.m.
NEDg Description generation batch_69e46c374ca08190a876ee68dea9b821 completed April 19, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69e4747bc02c81908f0782cf85667f3f completed April 19, 2026, 6:21 a.m.
Created at: April 8, 2026, 9:29 p.m.