Triple
T24712647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soweto Blues |
E612070
|
entity |
| Predicate | aboutCountry |
P157021
|
FINISHED |
| Object | 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: South Africa | Statement: [Soweto Blues, aboutCountry, South Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aboutCountry Context triple: [Soweto Blues, aboutCountry, South Africa]
-
A.
mainCountry
Indicates that one country is the primary or most significant country associated with a given entity or context.
-
B.
coveredCountry
Indicates that one entity includes or provides coverage for the territory or jurisdiction of a specified country.
-
C.
countryExample
Indicates that one country serves as a representative or illustrative example of another country in a given context.
-
D.
countryResponse
Indicates that a country issues, provides, or expresses a reply, reaction, or stance in response to a particular event, request, or situation.
-
E.
countryInWorld
Indicates that a country is located within and is a member of the world as a whole.
- F. None of above. chosen
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_69e2c4d9c24c8190a3712d74327f0c6e |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f410fe3b848190ae296a29f742ee30 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ee8ada8819089a7016b50308ff0 |
completed | May 1, 2026, 2:24 a.m. |
| PDg | Predicate description generation | batch_69f410fc18808190b4e47d5a71d3a126 |
completed | May 1, 2026, 2:33 a.m. |
Created at: April 18, 2026, 3:25 a.m.