Triple
T2392396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaborone |
E48971
|
entity |
| Predicate | twinCity |
P1072
|
FINISHED |
| Object |
Matsapha
Matsapha is an industrial town in central Eswatini known for its manufacturing hub and proximity to the city of Manzini.
|
E266562
|
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: Matsapha | Statement: [Gaborone, twinCity, Matsapha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matsapha Context triple: [Gaborone, twinCity, Matsapha]
-
A.
Nelspruit
Nelspruit is a city in northeastern South Africa, now known as Mbombela, noted as a regional hub near Kruger National Park and for hosting matches during the 2010 FIFA World Cup.
-
B.
Masandawana
Masandawana is the popular nickname of South African football club Mamelodi Sundowns F.C., one of the country’s most successful and widely supported teams.
-
C.
Makhuwa
Makhuwa is a major Bantu language spoken primarily in northern Mozambique by the Makhuwa people.
-
D.
Gavinana
Gavinana is a residential district in the southeastern part of Florence, Italy, known for its modern urban layout and proximity to the Arno River.
-
E.
Nkayi
Nkayi is a rural district and its main town in western Zimbabwe, situated in Matabeleland North Province and known for its predominantly Ndebele-speaking communities and subsistence agriculture.
- 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: Matsapha Triple: [Gaborone, twinCity, Matsapha]
Generated description
Matsapha is an industrial town in central Eswatini known for its manufacturing hub and proximity to the city of Manzini.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matsapha Target entity description: Matsapha is an industrial town in central Eswatini known for its manufacturing hub and proximity to the city of Manzini.
-
A.
Nelspruit
Nelspruit is a city in northeastern South Africa, now known as Mbombela, noted as a regional hub near Kruger National Park and for hosting matches during the 2010 FIFA World Cup.
-
B.
Masandawana
Masandawana is the popular nickname of South African football club Mamelodi Sundowns F.C., one of the country’s most successful and widely supported teams.
-
C.
Makhuwa
Makhuwa is a major Bantu language spoken primarily in northern Mozambique by the Makhuwa people.
-
D.
Gavinana
Gavinana is a residential district in the southeastern part of Florence, Italy, known for its modern urban layout and proximity to the Arno River.
-
E.
Nkayi
Nkayi is a rural district and its main town in western Zimbabwe, situated in Matabeleland North Province and known for its predominantly Ndebele-speaking communities and subsistence agriculture.
- 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_69a88aa5f63081908d07fd302029fcbd |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc87587708190a7f2bc473a898bc2 |
completed | March 7, 2026, 6:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebf3a3a2c8190a29b8ce47e40c3f8 |
completed | March 9, 2026, 12:38 p.m. |
| NEDg | Description generation | batch_69aec423e6608190aff6b12d31c9f533 |
completed | March 9, 2026, 12:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aec570ec88819089a2afc42aec1088 |
completed | March 9, 2026, 1:04 p.m. |
Created at: March 4, 2026, 7:57 p.m.