Triple

T4100141
Position Surface form Disambiguated ID Type / Status
Subject Stephen Langton E87920 entity
Predicate educatedAt P5 FINISHED
Object University of Paris E61210 NE FINISHED

How this triple was built (2 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: University of Paris | Statement: [Stephen Langton, educatedAt, University of Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: University of Paris
Context triple: [Stephen Langton, educatedAt, University of Paris]
  • A. La Sorbonne
    La Sorbonne is a historic university building in Paris that has long served as a central symbol of French higher education and intellectual life.
  • B. Sorbonne University
    Sorbonne University is a major public research university in Paris renowned for its historic humanities, science, and medical faculties.
  • C. University of Tours
    The University of Tours is a French public university located in the city of Tours, known for its programs in humanities, law, sciences, and health.
  • D. University of Montpellier
    The University of Montpellier is one of the oldest universities in the world, a major French public research institution renowned for its strengths in medicine, science, and law.
  • E. Panthéon-Sorbonne University chosen
    Panthéon-Sorbonne University is a prestigious Parisian institution renowned for its programs in law, humanities, and social sciences, and its historical roots in the University of Paris.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69aed94564cc8190a9c1457daedb6e7f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefd0d9c508190b8aedf83f3310513 completed March 9, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69bb807d9c388190af594bce7f592d7d completed March 19, 2026, 4:50 a.m.
Created at: March 9, 2026, 3:40 p.m.