Triple

T3978967
Position Surface form Disambiguated ID Type / Status
Subject Sea of Ice E85709 entity
Predicate drainsInto P4497 FINISHED
Object Arveyron River E296412 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: Arveyron River | Statement: [Sea of Ice, drainsInto, Arveyron River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arveyron River
Context triple: [Sea of Ice, drainsInto, Arveyron River]
  • A. Arveyron River chosen
    The Arveyron River is a mountain stream in the French Alps that drains glaciers near Chamonix before joining the Arve River.
  • B. Morges River
    The Morges River is a small river in western Switzerland that drains into Lake Geneva near the town of Morges.
  • C. Colagne River
    The Colagne River is a small river in southern France that flows through the Lozère department, including the town of Marvejols, before joining the Lot River.
  • D. Ouvèze River
    The Ouvèze River is a river in southeastern France that flows through the Drôme and Vaucluse departments before joining the Rhône.
  • E. Aigues River
    The Aigues River is a watercourse in southeastern France that ultimately receives the flow of the Ouvèze River as one of its tributaries.
  • 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_69aed93908348190a26c8aaf4fab3e86 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9bb89e8819087703a7af5bbcfc1 completed March 9, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5401dd24481908d143a9da6786757 completed March 14, 2026, 11:01 a.m.
Created at: March 9, 2026, 3:33 p.m.