Triple
T4686580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AmaZulu F.C. |
E103934
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | AmaZulu |
E103934
|
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: AmaZulu | Statement: [AmaZulu F.C., shortName, AmaZulu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AmaZulu Context triple: [AmaZulu F.C., shortName, AmaZulu]
-
A.
AmaZulu F.C.
chosen
AmaZulu F.C. is a professional South African football club based in Durban that competes in the country’s top-tier league.
-
B.
Mabalako
Mabalako is a health zone in North Kivu Province in the eastern Democratic Republic of the Congo, known for being heavily affected by Ebola outbreaks.
-
C.
Zulu (score)
Zulu (score) is John Barry’s acclaimed orchestral film score for the 1964 British war movie "Zulu," noted for its stirring themes and incorporation of African musical elements.
-
D.
Tshiphani
Tshiphani is a regional dialect of the Tshivenda language spoken by Venda communities in parts of southern Africa.
-
E.
Mandla
Mandla is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its proximity to the Narmada River and nearby wildlife and forested areas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd638593048190ad4af82f735d467a |
completed | March 20, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03b3b0208190bb307cdd53f44306 |
completed | March 21, 2026, 2:34 a.m. |
Created at: March 20, 2026, 1:16 p.m.