Triple

T720065
Position Surface form Disambiguated ID Type / Status
Subject Allier River E14395 entity
Predicate drainageBasin P1559 FINISHED
Object Loire basin E9847 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: Loire basin | Statement: [Allier River, drainageBasin, Loire basin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loire basin
Context triple: [Allier River, drainageBasin, Loire basin]
  • A. Loire chosen
    The Loire is the longest river in France, renowned for its scenic valley dotted with historic châteaux and vineyards.
  • B. Seine River Basin
    The Seine River Basin is the extensive drainage area in northern France that collects the waters of the Seine and its tributaries, encompassing Paris and much of the surrounding region.
  • C. Dordogne River
    The Dordogne River is a major river in south-central and southwestern France, renowned for its scenic valleys, historic towns, and role in the region’s cultural and natural heritage.
  • D. Allier River
    The Allier River is a major river in central France, known for its largely unspoiled natural course and as a tributary of the Loire.
  • E. Nièvre
    Nièvre is a rural department in central France’s Bourgogne-Franche-Comté region, known for its rolling countryside, the Loire River, and its capital city Nevers.
  • 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_69a4934a36e081909e7abef98b898a4e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a58e65e8819098cba7e6a20d8f33 completed March 1, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac2573c6a48190bfe9b7f2ec026462 completed March 7, 2026, 1:17 p.m.
Created at: March 1, 2026, 7:37 p.m.