Triple

T22238552
Position Surface form Disambiguated ID Type / Status
Subject Rivers family home E549655 entity
Predicate nearbyLandscape P61270 FINISHED
Object bleak moorland 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: bleak moorland | Statement: [Rivers family home, nearbyLandscape, bleak moorland]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: nearbyLandscape
Context triple: [Rivers family home, nearbyLandscape, bleak moorland]
  • A. nearbyLocation chosen
    Indicates that one location is situated close to another location in physical space.
  • B. nearbyCurrent
    Indicates that one entity is located close to another entity at the present moment or in the current context.
  • C. typicalNearbyLandmarks
    Indicates that certain landmarks are commonly found in the vicinity of a given place or location.
  • D. nearbyElevation
    Indicates that one entity is located at or associated with an elevation that is geographically close to the elevation of another entity.
  • E. nearbyFrontier
    Indicates that one entity is located close to a boundary or frontier region associated with another entity.
  • 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_69e11e4102b881909cf47d3768e25c19 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f132123a048190ba5a90d7acb9aeb2 completed April 28, 2026, 10:17 p.m.
PD Predicate disambiguation batch_69e71b5177d881908f90abde14ada7dc completed April 21, 2026, 6:38 a.m.
Created at: April 16, 2026, 8:38 p.m.