Triple

T9389277
Position Surface form Disambiguated ID Type / Status
Subject Cure E225981 entity
Predicate partOf P40 FINISHED
Object Yonne basin E648559 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: Yonne basin | Statement: [Cure, partOf, Yonne basin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yonne basin
Context triple: [Cure, partOf, Yonne basin]
  • A. Yonne River basin chosen
    The Yonne River basin is a major sub-basin in north-central France that drains the Yonne River and its tributaries before they join the Seine.
  • B. Saône basin
    The Saône basin is the drainage area of the Saône River in eastern France, encompassing its tributaries and surrounding landscapes before the river joins the Rhône.
  • C. Yonne
    Yonne is a major river in north-central France that flows through the Burgundy region before joining the Seine.
  • D. Vallée de la Marne
    Vallée de la Marne is a key subregion of France’s Champagne wine area, known for its vineyards along the Marne River and its significant production of Pinot Meunier–based sparkling wines.
  • E. Marne River basin
    The Marne River basin is a major drainage area in northeastern France that collects the waters of the Marne River and its tributaries before they flow into the Seine.
  • 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_69ca842f7e3481908bf5bcf52e032dbd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd50d83c188190925c389dff1341b0 completed April 1, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18205237c8190a6e7b4009b512d6d completed April 4, 2026, 9:26 p.m.
Created at: March 30, 2026, 7:45 p.m.