Triple

T34199756
Position Surface form Disambiguated ID Type / Status
Subject Honoris Crux E877343 entity
Predicate awardingCountryFormerName P120786 FINISHED
Object Union of South Africa 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: Union of South Africa | Statement: [Honoris Crux, awardingCountryFormerName, Union of South Africa]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: awardingCountryFormerName
Context triple: [Honoris Crux, awardingCountryFormerName, Union of South Africa]
  • A. associatedCountryBefore1980
    Indicates that there was an association or relationship between the entities and the specified country that existed at some point before the year 1980.
  • B. originalCountryNowKnownAs chosen
    Indicates that a country previously known by one name is now recognized under a different current country name.
  • C. laterNameOfCountry
    Indicates that the referenced entity is a later or subsequent name adopted by a country that previously had a different name.
  • D. formerGoverningCountry
    Indicates that one country previously held governing or colonial authority over another country or territory.
  • E. countryBefore1993
    Indicates that the specified country existed or held a particular status prior to the year 1993.
  • 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_69f349aff5f0819096275315abea5344 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fd44474ed48190ac372e4c88d762ed completed May 8, 2026, 2:02 a.m.
PD Predicate disambiguation batch_69fd41ef28a48190a66959be5c964461 completed May 8, 2026, 1:52 a.m.
Created at: May 1, 2026, 1:55 a.m.