Triple

T11446077
Position Surface form Disambiguated ID Type / Status
Subject Commune of Pantin E271266 entity
Predicate locatedNear P294 FINISHED
Object Paris city center 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 center | Statement: [Commune of Pantin, locatedNear, Paris city center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris city center
Context triple: [Commune of Pantin, locatedNear, Paris city center]
  • 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 Bar
    The Paris Bar is the professional association and regulatory body for lawyers practicing in Paris, France.
  • D. Paris Qualles
    Paris Qualles is an American television and film screenwriter and producer known for his work on socially conscious dramas and biographical projects.
  • E. Paris
    Paris is a major Chilean department store and retail chain offering a wide range of apparel, home goods, and consumer products.
  • 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_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d81c6d4890819082fb4a670feb2629 completed April 9, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d3bdafb08190aadf5d63facfedaf completed April 20, 2026, 7:20 a.m.
Created at: April 8, 2026, 9:35 p.m.