Triple
T22193122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polokwane Local Municipality |
E548480
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Ga-Mothapo
Ga-Mothapo is a village in the Limpopo province of South Africa that forms part of the rural settlements within the Polokwane area.
|
E1529927
|
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: Ga-Mothapo | Statement: [Polokwane Local Municipality, containsSettlement, Ga-Mothapo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ga-Mothapo Context triple: [Polokwane Local Municipality, containsSettlement, Ga-Mothapo]
-
A.
Keabetswe
Keabetswe is the given first name of Mokgweetsi Masisi, the president of Botswana.
-
B.
Omaruru
Omaruru is a small historic town in central Namibia known for its colonial-era architecture, vineyards, and role as a local trading and farming center.
-
C.
Tsumkwe
Tsumkwe is a remote settlement in northeastern Namibia known as a center of San (Bushmen) communities and culture.
-
D.
Ovambo
Ovambo is a Bantu language spoken primarily by the Ovambo people in northern Namibia and southern Angola.
-
E.
Gatenga
Gatenga is an urban sector within Kigali, Rwanda, known for its residential neighborhoods and local commercial activity.
- 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: Ga-Mothapo Triple: [Polokwane Local Municipality, containsSettlement, Ga-Mothapo]
Generated description
Ga-Mothapo is a village in the Limpopo province of South Africa that forms part of the rural settlements within the Polokwane area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ga-Mothapo Target entity description: Ga-Mothapo is a village in the Limpopo province of South Africa that forms part of the rural settlements within the Polokwane area.
-
A.
Keabetswe
Keabetswe is the given first name of Mokgweetsi Masisi, the president of Botswana.
-
B.
Omaruru
Omaruru is a small historic town in central Namibia known for its colonial-era architecture, vineyards, and role as a local trading and farming center.
-
C.
Tsumkwe
Tsumkwe is a remote settlement in northeastern Namibia known as a center of San (Bushmen) communities and culture.
-
D.
Ovambo
Ovambo is a Bantu language spoken primarily by the Ovambo people in northern Namibia and southern Angola.
-
E.
Gatenga
Gatenga is an urban sector within Kigali, Rwanda, known for its residential neighborhoods and local commercial activity.
- 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_69e11e3e0c7c8190b30d278845e2497e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12ae552908190b38c3d765bcfb68a |
completed | April 28, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0acc81c9648190b735813fa7fce92e |
completed | May 18, 2026, 8:23 a.m. |
| NEDg | Description generation | batch_6a0acd7bfb4c81909475874f808887c0 |
completed | May 18, 2026, 8:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ace029b74819086a545100e8a8f8a |
completed | May 18, 2026, 8:29 a.m. |
Created at: April 16, 2026, 8:35 p.m.