Triple

T32020582
Position Surface form Disambiguated ID Type / Status
Subject Brighton College E817675 entity
Predicate acceptsBoardersFrom P166354 FINISHED
Object United Kingdom 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: United Kingdom | Statement: [Brighton College, acceptsBoardersFrom, United Kingdom]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: acceptsBoardersFrom
Context triple: [Brighton College, acceptsBoardersFrom, United Kingdom]
  • A. admitsBoarders chosen
    Indicates that an entity accepts or allows boarders (people who live and/or take meals there) to reside on its premises.
  • B. haveOpenBordersThrough
    Indicates that one entity allows unrestricted or minimally restricted cross-border movement or access via another specified entity or route.
  • C. restrictedImmigrantsFrom
    Indicates that one entity imposed limitations or prohibitions on immigrants originating from another entity.
  • D. hasBorderControlBy
    Indicates that the border of one entity is monitored, regulated, or managed by another entity.
  • E. hasBorderControlFacility
    Indicates that one location possesses an official facility responsible for managing and controlling border crossings to or from another location.
  • 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_69f348fb04e4819081f4eab040ed7959 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b466aaa08190bcafc15b3b2d3d31 completed May 3, 2026, 2:35 a.m.
PD Predicate disambiguation batch_69f6b151ad008190836c1bcdec503ce2 completed May 3, 2026, 2:22 a.m.
Created at: May 1, 2026, 12:16 a.m.