Triple

T5316920
Position Surface form Disambiguated ID Type / Status
Subject Setun River E119173 entity
Predicate hasRelativeNaturalState P63458 FINISHED
Object one of few relatively natural rivers in Moscow 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: one of few relatively natural rivers in Moscow | Statement: [Setun River, hasRelativeNaturalState, one of few relatively natural rivers in Moscow]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRelativeNaturalState
Context triple: [Setun River, hasRelativeNaturalState, one of few relatively natural rivers in Moscow]
  • A. hasGroundState
    Indicates that an entity possesses a lowest-energy, most stable state in its energy configuration.
  • B. hasRelativeOccupation
    Indicates that two people are related in such a way that one’s occupation is defined or characterized in relation to the other’s occupation.
  • C. hasRelativeRole
    Indicates that one entity holds a familial or kinship-based role in relation to another entity.
  • D. hasRelativeLocation
    Indicates that one entity is positioned in space in relation to another entity’s location.
  • E. hasRelativeRelief
    Indicates a relationship where one entity is characterized by the degree of variation in elevation or relief relative to another reference entity or area.
  • F. None of above. chosen

Provenance (4 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_69bd446b57bc8190a513d2e6c40314f3 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd86f20f008190be7b5848af05f2b8 completed March 20, 2026, 5:42 p.m.
PD Predicate disambiguation batch_69bd84561c7081909e5937c7816e492c completed March 20, 2026, 5:31 p.m.
PDg Predicate description generation batch_69bd86f0cbfc8190b6665dd9b28d6345 completed March 20, 2026, 5:42 p.m.
Created at: March 20, 2026, 1:54 p.m.