Triple
T10873681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Civics FC |
E256719
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Windhoek, Namibia |
E48226
|
NE FINISHED |
How this triple was built (2 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: Windhoek, Namibia | Statement: [Civics FC, location, Windhoek, Namibia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Windhoek, Namibia Context triple: [Civics FC, location, Windhoek, Namibia]
-
A.
Windhoek
chosen
Windhoek is the capital and largest city of Namibia, serving as the country’s political, economic, and cultural center.
-
B.
Otjiwarongo
Otjiwarongo is a town in central Namibia known as a key commercial and transport hub for the surrounding agricultural and wildlife regions.
-
C.
Swakopmund
Swakopmund is a coastal city in Namibia known for its German colonial architecture, cool Atlantic climate, and popularity as a tourist destination and adventure-sports hub.
-
D.
Grootfontein, Namibia
Grootfontein, Namibia is a small town in northern Namibia known historically as a mining and agricultural center and as the birthplace of model Behati Prinsloo.
-
E.
Kasane
Kasane is a small town in northern Botswana that serves as a key gateway and service hub for visitors to Chobe National Park and the surrounding wildlife areas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751891b508190959784f212e06acb |
completed | April 9, 2026, 7:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e54263e930819099524917506c7eab |
completed | April 19, 2026, 9 p.m. |
Created at: April 8, 2026, 9:21 p.m.