Triple

T6840919
Position Surface form Disambiguated ID Type / Status
Subject Niemen E157569 entity
Predicate hasRiverBasinAreaApprox P28955 FINISHED
Object 98,200 km² LITERAL 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: 98,200 km² | Statement: [Niemen, hasRiverBasinAreaApprox, 98,200 km²]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRiverBasinAreaApprox
Context triple: [Niemen, hasRiverBasinAreaApprox, 98,200 km²]
  • A. drainageBasinArea
    Indicates the total surface area of land from which precipitation and runoff drain into a particular water body or watershed.
  • B. drainageAreaApprox chosen
    Indicates that one entity has an approximate drainage area measured or characterized by the other entity.
  • C. watershedArea
    Indicates the total land area from which surface water drains into a particular water body or point in the drainage system.
  • D. basinPartOf
    Indicates that one basin is a component or subdivision of a larger basin or basin system.
  • E. drainageAreaFeature
    Indicates the geographic feature or area from which water drains into a particular water body or drainage system.
  • F. None of above.

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_69c6882c53608190b99aebef079b23bd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d6b4a1f88190b4f532828697fbd8 completed March 27, 2026, 7:12 p.m.
PD Predicate disambiguation batch_69c6d09f90648190bc0a462c7d59de1b completed March 27, 2026, 6:46 p.m.
Created at: March 27, 2026, 2:19 p.m.