Triple
T13705061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Harbour |
E328617
|
entity |
| Predicate | nearbyAttraction |
P3449
|
FINISHED |
| Object | Hermanus Market Square |
E65221
|
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: Hermanus Market Square | Statement: [Old Harbour, nearbyAttraction, Hermanus Market Square]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hermanus Market Square Context triple: [Old Harbour, nearbyAttraction, Hermanus Market Square]
-
A.
Riebeek-Kasteel
Riebeek-Kasteel is a historic village in South Africa’s Western Cape, known for its scenic Swartland wine and olive-producing region and well-preserved Cape Dutch architecture.
-
B.
Hermanus
chosen
Hermanus is a coastal town in South Africa renowned for its land-based whale watching and scenic seaside landscapes.
-
C.
Vredenburg square
Vredenburg square is a central public square in the Dutch city of Utrecht, known as a major hub for shopping, events, and public transport.
-
D.
Swellendam
Swellendam is a historic town in South Africa’s Western Cape, known for its Cape Dutch architecture and location near the Langeberg Mountains.
-
E.
Randburg Square
Randburg Square is a popular shopping centre in Randburg, South Africa, featuring a variety of retail stores, services, and dining options for local shoppers.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dcad17732c8190bbd0d73107711c99 |
completed | April 13, 2026, 8:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d50f34c8190ac5b4e09ab57baa9 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:54 p.m.