Triple
T16356097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manzini |
E397182
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
Bremersdorp
Bremersdorp is the former name of Manzini, a major city and commercial hub in Eswatini.
|
E1207925
|
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: Bremersdorp | Statement: [Manzini, formerName, Bremersdorp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bremersdorp Context triple: [Manzini, formerName, Bremersdorp]
-
A.
Dysselsdorp
Dysselsdorp is a small rural town in South Africa’s Western Cape province, situated in the semi-arid Little Karoo region.
-
B.
Ventersdorp
Ventersdorp is a small agricultural town in South Africa’s North West province, historically known as a conservative stronghold and for its association with right-wing Afrikaner politics.
-
C.
Santpoort
Santpoort is a village in the Dutch province of North Holland, known for its historic estates, dunes, and proximity to the city of Haarlem.
-
D.
Zoutpansbergdorp
Zoutpansbergdorp was a 19th-century Boer settlement in the northern Transvaal region of South Africa, near the Zoutpansberg mountain range.
-
E.
Bredasdorp
Bredasdorp is a small agricultural town in South Africa’s Western Cape, known as a gateway to the southern Overberg region and nearby coastal and nature attractions.
- 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: Bremersdorp Triple: [Manzini, formerName, Bremersdorp]
Generated description
Bremersdorp is the former name of Manzini, a major city and commercial hub in Eswatini.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bremersdorp Target entity description: Bremersdorp is the former name of Manzini, a major city and commercial hub in Eswatini.
-
A.
Dysselsdorp
Dysselsdorp is a small rural town in South Africa’s Western Cape province, situated in the semi-arid Little Karoo region.
-
B.
Ventersdorp
Ventersdorp is a small agricultural town in South Africa’s North West province, historically known as a conservative stronghold and for its association with right-wing Afrikaner politics.
-
C.
Santpoort
Santpoort is a village in the Dutch province of North Holland, known for its historic estates, dunes, and proximity to the city of Haarlem.
-
D.
Zoutpansbergdorp
Zoutpansbergdorp was a 19th-century Boer settlement in the northern Transvaal region of South Africa, near the Zoutpansberg mountain range.
-
E.
Bredasdorp
Bredasdorp is a small agricultural town in South Africa’s Western Cape, known as a gateway to the southern Overberg region and nearby coastal and nature attractions.
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2facf67e0819089a23ce6f5642fbe |
completed | April 18, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002dbaacd88190b2c90c5be2832307 |
completed | May 10, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_6a002e92e840819080219d51dd6ddb34 |
completed | May 10, 2026, 7:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a002f171b588190b4690a28657fa76e |
completed | May 10, 2026, 7:09 a.m. |
Created at: April 10, 2026, 5:07 a.m.