Triple
T11232106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIFA World Cup mascots series |
E265846
|
entity |
| Predicate | hasMascot |
P52
|
FINISHED |
| Object | Zakumi |
E124876
|
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: Zakumi | Statement: [FIFA World Cup mascots series, hasMascot, Zakumi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zakumi Context triple: [FIFA World Cup mascots series, hasMascot, Zakumi]
-
A.
Zakumi
chosen
Zakumi is the leopard-themed mascot character created to represent South Africa and embody the spirit of the 2010 FIFA World Cup.
-
B.
Sakumono
Sakumono is a coastal suburban community in the Greater Accra Region of Ghana, known for its residential estates and proximity to the Sakumono Lagoon and beach.
-
C.
Sumazau
Sumazau is a traditional Kadazan-Dusun dance from Sabah, Malaysia, characterized by graceful, bird-like arm movements performed to gong music during cultural and ceremonial occasions.
-
D.
Hieda no Are
Hieda no Are was a Japanese court reciter traditionally credited with memorizing the oral histories that formed the basis of the early 8th-century chronicle Kojiki.
-
E.
Okutama
Okutama is a mountainous town in western Tokyo, Japan, known for its forests, lakes, and outdoor recreation areas at the headwaters of the Tama River.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9026e1c81909456ac946bbba972 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ad49b5cc8190b99cb2cd8de72109 |
completed | April 19, 2026, 10:24 a.m. |
Created at: April 8, 2026, 9:30 p.m.