Triple

T8844367
Position Surface form Disambiguated ID Type / Status
Subject Loiret E210466 entity
Predicate capital P234 FINISHED
Object Orléans E60387 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: Orléans | Statement: [Loiret, capital, Orléans]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orléans
Context triple: [Loiret, capital, Orléans]
  • A. Orléans
    Orléans is a federal electoral district in the eastern part of Ottawa, Ontario, represented in the House of Commons of Canada.
  • B. Orléans chosen
    Orléans is a historic city in north-central France, renowned for its association with Joan of Arc and its location on the Loire River.
  • C. Orleans
    Orleans is a coastal town on outer Cape Cod in Massachusetts known for its beaches, fishing, and role as a popular summer vacation destination.
  • D. d'Orléans
    d'Orléans is a prominent French royal and noble house, historically associated with cadet branches of the Bourbon dynasty and influential figures in French political and cultural life.
  • E. Saint-Louis
    Saint-Louis is a French border town in the Alsace region, adjacent to Basel and known as a key cross-border transit and commuter hub between France, Switzerland, and Germany.
  • 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_69ca838967bc8190b46c3c80a2887ea4 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc608a73c88190875409fef79ffc8a completed April 1, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf89ad0a3c8190a2bcf9a106138835 completed April 3, 2026, 9:34 a.m.
Created at: March 30, 2026, 6:48 p.m.