Triple

T15100641
Position Surface form Disambiguated ID Type / Status
Subject Élivágar E360653 entity
Predicate numberOfRivers P58872 FINISHED
Object multiple 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: multiple | Statement: [Élivágar, numberOfRivers, multiple]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfRivers
Context triple: [Élivágar, numberOfRivers, multiple]
  • A. hasNumberOfRivers chosen
    Indicates the quantitative relationship specifying how many rivers are associated with a given entity.
  • B. hasRiver
    Indicates that a location or area contains, is traversed by, or is directly associated with a river.
  • C. 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).
  • D. waterwayLengthKilometres
    Indicates the total length of a waterway, measured in kilometres.
  • E. hasMajorRiverSystem
    Indicates that an entity possesses or is traversed by a primary, large-scale river network that significantly characterizes its hydrology or geography.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00550007481909e02ee1d597a4d37 completed April 15, 2026, 9:38 p.m.
PD Predicate disambiguation batch_69deb96c1d9c81909351558ed97bc5b7 completed April 14, 2026, 10:02 p.m.
Created at: April 10, 2026, 3:04 a.m.