Triple

T107685
Position Surface form Disambiguated ID Type / Status
Subject Sorbonne University E2175 entity
Predicate campus P269 FINISHED
Object Latin Quarter E8855 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: Latin Quarter | Statement: [Sorbonne University, campus, Latin Quarter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Latin Quarter
Context triple: [Sorbonne University, campus, Latin Quarter]
  • A. Left Bank of the Seine chosen
    The Left Bank of the Seine is the historically bohemian, intellectual, and artistic southern side of central Paris, renowned for its cafés, universities, and literary culture.
  • B. Vichy
    Vichy is a spa town in central France renowned for its thermal springs, health resorts, and role as the seat of the World War II Vichy regime.
  • C. Red Light District
    The Red Light District is Amsterdam’s famous historic neighborhood known for its legalized sex work, distinctive red-lit windows, and vibrant nightlife that attracts tourists from around the world.
  • D. City of Light
    City of Light is a famous nickname for Paris, highlighting its historic role as a center of art, culture, and enlightenment.
  • E. Paris
    Paris is the capital and largest city of France, renowned for its historic architecture, art, fashion, and cultural influence worldwide.
  • 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_69a24fcdaeb48190a2d796677e4b3281 completed Feb. 28, 2026, 2:15 a.m.
NER Named-entity recognition batch_69a256cac6d4819083b50c9c9d95e975 completed Feb. 28, 2026, 2:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69a275e81aa48190827b634822e25058 completed Feb. 28, 2026, 4:58 a.m.
Created at: Feb. 28, 2026, 2:20 a.m.