Triple
T1222014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port Elizabeth |
E26242
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Port of Port Elizabeth |
E26242
|
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: Port of Port Elizabeth | Statement: [Port Elizabeth, hasPort, Port of Port Elizabeth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port of Port Elizabeth Context triple: [Port Elizabeth, hasPort, Port of Port Elizabeth]
-
A.
Port of Durban
The Port of Durban is Africa’s busiest and largest container port, serving as a major gateway for maritime trade on the east coast of South Africa.
-
B.
Port Shepstone
Port Shepstone is a coastal town on South Africa’s south coast, known historically as a regional administrative and commercial center and today as a seaside holiday destination.
-
C.
Mossel Bay
Mossel Bay is a coastal town and popular tourist destination on South Africa’s Garden Route, known for its beaches, mild climate, and maritime history.
-
D.
Port Elizabeth
chosen
Port Elizabeth is a large coastal city in South Africa known for its major seaport, automotive industry, and popular beaches along Algoa Bay.
-
E.
Hermanus
Hermanus is a coastal town in South Africa renowned for its land-based whale watching and scenic seaside landscapes.
- 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_69a49484688c8190a1bf285eb396a8b6 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be206c108190bb8a5d44fc516c98 |
completed | March 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8a0d69f88190b3352016289b4a18 |
completed | March 7, 2026, 8:26 p.m. |
Created at: March 1, 2026, 7:47 p.m.