Triple
T34199757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honoris Crux |
E877343
|
entity |
| Predicate | awardingCountryLaterName |
P2729
|
FINISHED |
| Object | Republic 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: Republic of South Africa | Statement: [Honoris Crux, awardingCountryLaterName, Republic of South Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardingCountryLaterName Context triple: [Honoris Crux, awardingCountryLaterName, Republic of South Africa]
-
A.
laterNameOfCountry
Indicates that the referenced entity is a later or subsequent name adopted by a country that previously had a different name.
-
B.
namedAfterCountryAssociation
Indicates that one entity is named after, or derives its name from, a specific country.
-
C.
awardingCountryType
Indicates the type or classification of the country that grants or confers an award.
-
D.
countryOfAwarding
chosen
Indicates the country that officially granted or conferred a particular award, honor, or recognition.
-
E.
designationCountry
Indicates the country that officially assigns or confers a particular status, title, or designation on an 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_69f349aff5f0819096275315abea5344 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd474b7e788190a9bb9b542d878f60 |
completed | May 8, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69fd46d8b2f0819099d92d72c902f60e |
completed | May 8, 2026, 2:13 a.m. |
Created at: May 1, 2026, 1:55 a.m.