Triple

T14601253
Position Surface form Disambiguated ID Type / Status
Subject Orlybus E342709 entity
Predicate connects P390 FINISHED
Object Paris city centre E235976 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: Paris city centre | Statement: [Orlybus, connects, Paris city centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris city centre
Context triple: [Orlybus, connects, Paris city centre]
  • A. central Paris chosen
    Central Paris is the historic and cultural heart of France’s capital, encompassing its most famous landmarks, dense urban core, and major business, shopping, and tourist districts.
  • B. Paris region, France
    The Paris region in France, also known as Île-de-France, is the country’s most populous and economically significant area, centered around the capital city of Paris and encompassing its surrounding suburbs and satellite towns.
  • C. Paris Rive Gauche district
    The Paris Rive Gauche district is a major urban redevelopment area on the Left Bank of the Seine, known for its modern architecture, cultural institutions, and university campuses.
  • D. Paris Bar
    The Paris Bar is the professional association and regulatory body for lawyers practicing in Paris, France.
  • E. Paris Qualles
    Paris Qualles is an American television and film screenwriter and producer known for his work on socially conscious dramas and biographical projects.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb438748081908020ce04b869866a completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94cc9fbc819090ae4efe9bc618aa completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:25 a.m.