Triple

T23634789
Position Surface form Disambiguated ID Type / Status
Subject Kreis Meißen E583711 entity
Predicate riverInDistrict P165 FINISHED
Object Elbe NE NERFINISHED

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: Elbe | Statement: [Kreis Meißen, riverInDistrict, Elbe]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: riverInDistrict
Context triple: [Kreis Meißen, riverInDistrict, Elbe]
  • A. watercourseThroughRegion
    Indicates that a watercourse (such as a river or stream) passes through or traverses a specified region.
  • B. riverSystem
    Indicates that one entity is a river system to which the other entity belongs or is a component (such as a tributary or segment).
  • C. hasRiver chosen
    Indicates that a location or area contains, is traversed by, or is directly associated with a river.
  • D. associatedRiverBasin
    Indicates that one entity is linked to, or lies within the drainage area of, a particular river basin.
  • E. locatedOnTributaryOf
    Indicates that one entity is situated along or on the banks of a tributary that flows into another specified water body.
  • 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_69e248fe1c2c8190ac914d2442ff3d26 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b1eb38a481909f7ceeaefb7b43ce completed April 29, 2026, 7:23 a.m.
PD Predicate disambiguation batch_69f118d0e0588190a86527a7747c5427 completed April 28, 2026, 8:30 p.m.
Created at: April 17, 2026, 6:47 p.m.