Triple
T16052593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swartland Local Municipality |
E389391
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Koringberg
Koringberg is a small rural town in South Africa’s Western Cape, situated in the wheat-farming Swartland region.
|
E1191524
|
NE FINISHED |
How this triple was built (4 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: Koringberg | Statement: [Swartland Local Municipality, contains, Koringberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koringberg Context triple: [Swartland Local Municipality, contains, Koringberg]
-
A.
Köterberg
Köterberg is a prominent hill in northern Germany known for its panoramic views and popularity among hikers and motorcyclists.
-
B.
Kleeberg
Kleeberg is a Polish surname most notably associated with General Franciszek Kleeberg, a commander in the early stages of World War II.
-
C.
Ölberg
Ölberg is the highest and one of the most prominent hills in Germany’s Siebengebirge range, known for its scenic views over the Rhine Valley.
-
D.
Wilseder Berg
Wilseder Berg is a prominent hill and popular viewpoint in northern Germany, known for its scenic heathland landscapes within the Lüneburg Heath region.
-
E.
Ranselberg
Ranselberg is a locality or district that forms part of the town of Lorch in Germany.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Koringberg Triple: [Swartland Local Municipality, contains, Koringberg]
Generated description
Koringberg is a small rural town in South Africa’s Western Cape, situated in the wheat-farming Swartland region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Koringberg Target entity description: Koringberg is a small rural town in South Africa’s Western Cape, situated in the wheat-farming Swartland region.
-
A.
Köterberg
Köterberg is a prominent hill in northern Germany known for its panoramic views and popularity among hikers and motorcyclists.
-
B.
Kleeberg
Kleeberg is a Polish surname most notably associated with General Franciszek Kleeberg, a commander in the early stages of World War II.
-
C.
Ölberg
Ölberg is the highest and one of the most prominent hills in Germany’s Siebengebirge range, known for its scenic views over the Rhine Valley.
-
D.
Wilseder Berg
Wilseder Berg is a prominent hill and popular viewpoint in northern Germany, known for its scenic heathland landscapes within the Lüneburg Heath region.
-
E.
Ranselberg
Ranselberg is a locality or district that forms part of the town of Lorch in Germany.
- F. None of above. chosen
Provenance (5 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1836365688190b182f29bbb66127e |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbe2d87c8190ba7f16feb018e70c |
completed | May 10, 2026, 1:14 a.m. |
| NEDg | Description generation | batch_69ffdcfe202481909913e9e44ffbf66f |
completed | May 10, 2026, 1:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffdd8610c081908305a1c2298618c1 |
completed | May 10, 2026, 1:21 a.m. |
Created at: April 10, 2026, 4:56 a.m.