Triple
T874530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Durban |
E18886
|
entity |
| Predicate | foundedAs |
P364
|
FINISHED |
| Object | Port Natal |
E103926
|
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 Natal | Statement: [Durban, foundedAs, Port Natal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port Natal Context triple: [Durban, foundedAs, Port Natal]
-
A.
Port Morant
Port Morant is a coastal town in eastern Jamaica known historically as one of the island’s early ports and plantation centers.
-
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.
Table Bay
Table Bay is a natural bay on the Atlantic coast of South Africa, famed as the historic anchorage and harbor area of Cape Town beneath Table Mountain.
-
D.
Saldanha Bay
Saldanha Bay is a natural deep-water harbor and coastal town on South Africa’s west coast, known for its fishing industry, port facilities, and maritime activities.
-
E.
Port of Durban
chosen
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.
- 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_69a4938db1f081909bcd1ad2713b6096 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac992d8c819088800f5a713fa7a4 |
completed | March 1, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c01af9608190b3b735c590024f03 |
completed | March 4, 2026, 5:16 a.m. |
Created at: March 1, 2026, 7:39 p.m.