Triple

T26602758
Position Surface form Disambiguated ID Type / Status
Subject Royal New Brunswick Regiment E667679 entity
Predicate provincialAffiliation P88409 FINISHED
Object New Brunswick 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: New Brunswick | Statement: [Royal New Brunswick Regiment, provincialAffiliation, New Brunswick]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: provincialAffiliation
Context triple: [Royal New Brunswick Regiment, provincialAffiliation, New Brunswick]
  • A. formerProvinceAffiliation
    Indicates that an entity was previously affiliated with, or part of, a particular province but is no longer.
  • B. associatedProvinceOrState chosen
    Indicates that one entity is linked or related to a specific province or state as its relevant administrative region.
  • C. isProvincial
    Indicates that something belongs to, is characteristic of, or is administered at the level of a province rather than a national or local level.
  • D. provinceOf
    Indicates that one administrative region functions as a province belonging to or governed by a larger territorial or political entity.
  • E. hasRegionalAffiliation
    Indicates that an entity is associated with, belongs to, or is officially linked to a specific geographic region.
  • 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_69ee9cfd20348190bb1255d2603efb7a completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f6b2a65c7c8190ac40f1466ceadefc completed May 3, 2026, 2:27 a.m.
PD Predicate disambiguation batch_69f6b14d7d508190bc7d4c89dfba4a32 completed May 3, 2026, 2:22 a.m.
Created at: April 27, 2026, 2:13 a.m.