Triple
T2775416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cape Province |
E61556
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | East London |
E93175
|
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: East London | Statement: [Cape Province, contains, East London]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: East London Context triple: [Cape Province, contains, East London]
-
A.
East London
East London is a subregion of London known for its historically industrial riverside areas, diverse communities, and extensive recent regeneration and development.
-
B.
East London
chosen
East London is a major port city on South Africa’s southeast coast, known for its beaches along the Indian Ocean and its role as an industrial and commercial hub.
-
C.
Johannesburg, South Africa
Johannesburg, South Africa is the country’s largest city and economic hub, known for its role in the gold mining industry and as a major urban center in Gauteng province.
-
D.
Cape Town
Cape Town is a major coastal city in South Africa known for its iconic Table Mountain, diverse culture, and role as the country’s legislative capital.
-
E.
Port Elizabeth
Port Elizabeth is a large coastal city in South Africa known for its major seaport, automotive industry, and popular beaches along Algoa Bay.
- 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_69ab4b7cd13481909174bca9809ed259 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd81015481908785fbef0326a2db |
completed | March 7, 2026, 8:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01d56399881909f5e54f751fe5ad0 |
completed | March 10, 2026, 1:32 p.m. |
Created at: March 6, 2026, 9:57 p.m.