Triple
T11332115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caps United F.C. |
E268370
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Makepekepe
Makepekepe is the popular nickname of Zimbabwean football club Caps United F.C., one of the country’s most successful and widely supported teams.
|
E918127
|
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: Makepekepe | Statement: [Caps United F.C., nickname, Makepekepe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Makepekepe Context triple: [Caps United F.C., nickname, Makepekepe]
-
A.
Pakele
Pakele is a dialectal variety of the Madi language spoken by a subgroup of the Madi people in Central Africa.
-
B.
Mekoche
Mekoche is one of the principal divisions of the Shawnee people, historically recognized as a distinct clan or band within the larger Shawnee nation.
-
C.
Petauke
Petauke is a town in eastern Zambia that serves as an important commercial and transport hub for the surrounding rural region.
-
D.
Piapoko
Piapoko is an Arawakan Indigenous people of the Orinoco River region in Colombia and Venezuela, known for their traditional culture and language.
-
E.
Makepung
Makepung is a traditional water buffalo racing festival from Jembrana, Bali, featuring elaborately decorated buffaloes pulling wooden plows in competitive village races.
- 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: Makepekepe Triple: [Caps United F.C., nickname, Makepekepe]
Generated description
Makepekepe is the popular nickname of Zimbabwean football club Caps United F.C., one of the country’s most successful and widely supported teams.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Makepekepe Target entity description: Makepekepe is the popular nickname of Zimbabwean football club Caps United F.C., one of the country’s most successful and widely supported teams.
-
A.
Pakele
Pakele is a dialectal variety of the Madi language spoken by a subgroup of the Madi people in Central Africa.
-
B.
Mekoche
Mekoche is one of the principal divisions of the Shawnee people, historically recognized as a distinct clan or band within the larger Shawnee nation.
-
C.
Petauke
Petauke is a town in eastern Zambia that serves as an important commercial and transport hub for the surrounding rural region.
-
D.
Piapoko
Piapoko is an Arawakan Indigenous people of the Orinoco River region in Colombia and Venezuela, known for their traditional culture and language.
-
E.
Makepung
Makepung is a traditional water buffalo racing festival from Jembrana, Bali, featuring elaborately decorated buffaloes pulling wooden plows in competitive village races.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9fd38308190a5458be1bfcc89ea |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5263160548190adb7d5c0fd6af0e2 |
completed | April 19, 2026, 7 p.m. |
| NEDg | Description generation | batch_69e52c83768c819086ebfd870ad81998 |
completed | April 19, 2026, 7:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e531d0ab5881909814160b86c8e76b |
completed | April 19, 2026, 7:49 p.m. |
Created at: April 8, 2026, 9:32 p.m.