Triple

T2586473
Position Surface form Disambiguated ID Type / Status
Subject Amiens E58016 entity
Predicate locatedOnRiver P165 FINISHED
Object Somme River E83858 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: Somme River | Statement: [Amiens, locatedOnRiver, Somme River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Somme River
Context triple: [Amiens, locatedOnRiver, Somme River]
  • A. Somme River chosen
    The Somme River is a waterway in northern France that became historically significant as the site of one of World War I’s largest and bloodiest battles.
  • B. Marne
    The Marne is a major river in northeastern France that flows through the Île-de-France region before joining the Seine near Paris.
  • C. Semois River
    The Semois River is a picturesque waterway in southern Belgium and northern France, known for winding through the rugged, forested landscapes of the Ardennes.
  • D. Aube River
    The Aube River is a major waterway in northeastern France that flows through the Champagne region before joining the Seine.
  • E. 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.
  • 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_69ab4ac019c8819094add11c46706e32 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd3f6f6ac8190abff7b8b6ff3c023 completed March 7, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc6316e848190a843f9fd5b152e9f completed March 10, 2026, 7:20 a.m.
Created at: March 6, 2026, 9:49 p.m.