Triple
T22047250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umlazi |
E544792
|
entity |
| Predicate | hasSection |
P35
|
FINISHED |
| Object | Umlazi X |
—
|
NE NERFINISHED |
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: Umlazi X | Statement: [Umlazi, hasSection, Umlazi X]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Umlazi X Context triple: [Umlazi, hasSection, Umlazi X]
-
A.
Umlazi
chosen
Umlazi is a large township in the Durban area of South Africa, known as one of the country’s biggest urban settlements and a significant cultural and economic hub in KwaZulu-Natal.
-
B.
Uga X
Uga X is the current live bulldog mascot of the University of Georgia, continuing the long-running Uga mascot lineage for the school's athletic teams.
-
C.
Kembe X
Kembe X is an American rapper and songwriter from Chicago known for his introspective lyrics and collaborations within the city’s hip-hop scene.
-
D.
l’X
l’X is the traditional nickname of École Polytechnique, France’s elite engineering grande école renowned for its rigorous scientific education and prestigious alumni.
-
E.
XUZ
XUZ is the IATA airport code for Xuzhou Guanyin International Airport, a commercial airport serving the city of Xuzhou in Jiangsu Province, China.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12830c674819080254d77ee02bc9f |
completed | April 28, 2026, 9:35 p.m. |
Created at: April 16, 2026, 8:26 p.m.