Triple

T12251565
Position Surface form Disambiguated ID Type / Status
Subject Aurelianum E291982 entity
Predicate hasHistoricalRegion P915 FINISHED
Object Orléanais E291975 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: Orléanais | Statement: [Aurelianum, hasHistoricalRegion, Orléanais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orléanais
Context triple: [Aurelianum, hasHistoricalRegion, Orléanais]
  • A. Orléanais chosen
    Orléanais is a historical region of north-central France centered around the city of Orléans, known for its role in French royal history and the Loire Valley.
  • B. Capet
    Capet is the dynastic surname of the medieval French royal house that began with Hugh Capet and ruled France for centuries.
  • C. Duchy of Orléans
    The Duchy of Orléans was a prominent French peerage and territorial domain traditionally granted to close relatives of the king, whose holders played major roles in the politics and succession of the French monarchy.
  • D. Valois
    Valois was a prominent French royal dynasty that ruled France during the late Middle Ages and Renaissance, succeeding the Capetians and preceding the Bourbons.
  • E. Vendômois
    Vendômois is the French demonym referring to inhabitants or natives of the town of Vendôme in central France.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cc6983c81909bf479d15879a357 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60abbf75c81908a25e1c0a4aee8c1 completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:52 p.m.