Triple
T10765492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SACP |
E253942
|
entity |
| Predicate | hasPublication |
P80
|
FINISHED |
| Object | Umsebenzi |
E253945
|
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: Umsebenzi | Statement: [SACP, hasPublication, Umsebenzi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Umsebenzi Context triple: [SACP, hasPublication, Umsebenzi]
-
A.
Umsebenzi
chosen
Umsebenzi is the official publication of the South African Communist Party, featuring political analysis, party positions, and commentary on South African and international issues from a Marxist perspective.
-
B.
Usuthu
Usuthu is the popular nickname of AmaZulu F.C., a professional football club based in Durban, South Africa.
-
C.
Umguza
Umguza is a rural district in western Zimbabwe known for its agricultural communities and proximity to the city of Bulawayo.
-
D.
Umhlanga
Umhlanga is an affluent coastal resort town on South Africa’s KwaZulu-Natal north coast, known for its beaches, luxury hotels, and major commercial and residential developments.
-
E.
Umzinto
Umzinto is a town in the KwaZulu-Natal province of South Africa, historically known for its sugar industry and diverse local community.
- 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d731a5d5248190badfc5a8ab0215d6 |
completed | April 9, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de235fe7748190ba004f889da389ff |
completed | April 14, 2026, 11:22 a.m. |
Created at: April 8, 2026, 9:16 p.m.