Triple

T24895794
Position Surface form Disambiguated ID Type / Status
Subject Member of the Order of Military Merit E623134 entity
Predicate chancellorOfOrder P325 FINISHED
Object Governor General of Canada E28597 NE 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: Governor General of Canada | Statement: [Member of the Order of Military Merit, chancellorOfOrder, Governor General of Canada]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: chancellorOfOrder
Context triple: [Member of the Order of Military Merit, chancellorOfOrder, Governor General of Canada]
  • A. chancellorTitle
    Indicates the official title or designation held by an individual serving in the role of chancellor.
  • B. chancellorPower
    Indicates that an entity holds the authoritative executive or administrative powers associated with the role of chancellor over another entity or domain.
  • C. lastChancellor
    Indicates that one entity served as the most recent chancellor of another entity (such as a country, institution, or organization).
  • D. lordChancellor
    Indicates that one entity holds the position or role of Lord Chancellor in relation to another entity (such as a state, monarch, or government).
  • E. hasChancellor chosen
    Indicates that an entity holds the position or role of chancellor for another entity.
  • F. None of above.

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_69e2fac597708190a922bf39a49ec70a completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f43043512481909501a3979cac9947 completed May 1, 2026, 4:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a103320f3208190b517213b417366ed completed May 22, 2026, 10:42 a.m.
PD Predicate disambiguation batch_69f420fd375c81908ea4a4e60b76ee8f completed May 1, 2026, 3:41 a.m.
Created at: April 18, 2026, 5:26 a.m.