Triple
T5940064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Signal Hill |
E132143
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Bo-Kaap |
E556554
|
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: Bo-Kaap | Statement: [Signal Hill, near, Bo-Kaap]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bo-Kaap Context triple: [Signal Hill, near, Bo-Kaap]
-
A.
Bo-Kaap
chosen
Bo-Kaap is a historic, predominantly Muslim neighborhood in Cape Town, South Africa, famed for its brightly colored houses, cobbled streets, and rich Cape Malay cultural heritage.
-
B.
Muizenberg
Muizenberg is a seaside suburb of Cape Town, South Africa, known for its popular surfing beach and colorful Victorian beach huts.
-
C.
Braamfontein
Braamfontein is a central Johannesburg neighborhood known as a major cultural, educational, and judicial hub of South Africa.
-
D.
Mitchells Plain
Mitchells Plain is a large, predominantly residential township in Cape Town, South Africa, known for its dense population, socio-economic challenges, and vibrant community life.
-
E.
Tuynhuys, Cape Town
Tuynhuys in Cape Town is a historic 17th-century building that serves as the official office of the President of South Africa and a key site of national political significance.
- 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_69c0085c55dc8190aa90e242c956e2fa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c038ef132c8190812cf1e6fdd8dd9b |
completed | March 22, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e3b68a1c81908a219ffee8300e02 |
completed | March 23, 2026, 6:54 a.m. |
Created at: March 22, 2026, 4:01 p.m.