Triple

T7319877
Position Surface form Disambiguated ID Type / Status
Subject Struma River E168510 entity
Predicate valleyName P650 FINISHED
Object Struma Valley E299115 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: Struma Valley | Statement: [Struma River, valleyName, Struma Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Struma Valley
Context triple: [Struma River, valleyName, Struma Valley]
  • A. Struma Valley chosen
    Struma Valley is a river valley in southwestern Bulgaria and northern Greece, known for following the course of the Struma River through a series of fertile plains and mountain passes.
  • B. Son Valley
    Son Valley is a river valley in central India formed by the Son River, known for its fertile plains and agricultural significance.
  • C. Usk Valley
    The Usk Valley is a scenic river valley in southeast Wales known for its rolling countryside, historic market towns, and outdoor recreation opportunities.
  • D. Avon Valley
    Avon Valley is a scenic region in Western Australia known for its rolling farmland, historic towns, and role as the upper catchment area of the Swan River.
  • E. Avon Valley
    Avon Valley is a scenic river valley in southern England known for its meandering waterways, wildlife-rich wetlands, and rural landscapes.
  • 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_69c68a5251508190ad68df4151cfeb04 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6ef1a7a3c81909504eb711056f302 completed March 27, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7eefcd7148190818d581cbde9aff1 completed March 28, 2026, 3:08 p.m.
Created at: March 27, 2026, 3:02 p.m.