Triple
T22548242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Distell Group |
E557486
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object | Klipdrift |
—
|
NE NERFINISHED |
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: Klipdrift | Statement: [Distell Group, owns, Klipdrift]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Klipdrift Context triple: [Distell Group, owns, Klipdrift]
-
A.
Klipdrift
chosen
Klipdrift is a popular South African brandy known for its smooth taste and strong association with relaxed, sociable drinking culture.
-
B.
Kromdraai
Kromdraai is a renowned paleoanthropological site in South Africa’s Cradle of Humankind, known for yielding important early hominin fossils.
-
C.
Diepkloof
Diepkloof is a residential township area within Soweto, Johannesburg, known for its mix of formal housing, vibrant street life, and significant role in South Africa’s urban history.
-
D.
Kraaifontein
Kraaifontein is a residential suburb in the northern outskirts of Cape Town, South Africa, known for its mixed urban and semi-rural character.
-
E.
Magoebaskloof
Magoebaskloof is a scenic mountainous region in South Africa’s Limpopo Province, known for its lush indigenous forests, misty passes, waterfalls, and outdoor recreation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f372df48190ae5dd461b1230bc7 |
completed | April 29, 2026, 1:30 a.m. |
Created at: April 16, 2026, 8:52 p.m.