Triple
T2327225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noel Langley |
E48314
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Durban |
E18886
|
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: Durban | Statement: [Noel Langley, placeOfBirth, Durban]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Durban Context triple: [Noel Langley, placeOfBirth, Durban]
-
A.
Durban
chosen
Durban is a major coastal city in South Africa known for its busy port, subtropical climate, and significant Indian community.
-
B.
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.
-
C.
Pietermaritzburg
Pietermaritzburg is a major city in South Africa’s KwaZulu-Natal province, historically significant as a colonial administrative center and now known for its Victorian architecture and role as a regional economic and educational hub.
-
D.
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.
-
E.
Grahamstown
Grahamstown is a historic university town in South Africa, renowned for its colonial-era architecture and the annual National Arts Festival.
- 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_69a88aa308a88190b0b86c011fda7fce |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc64c7f1881909b0d847f7782e803 |
completed | March 7, 2026, 6:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c34fb7d881908d45f96f621d26ad |
completed | March 14, 2026, 2:09 a.m. |
Created at: March 4, 2026, 7:50 p.m.