Triple
T3960291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uga |
E85884
|
entity |
| Predicate | hasPredecessor |
P97
|
FINISHED |
| Object | Uga I |
E85884
|
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: Uga I | Statement: [Uga, hasPredecessor, Uga I]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uga I Context triple: [Uga, hasPredecessor, Uga I]
-
A.
Uga
chosen
Uga is the live English bulldog who serves as the beloved official mascot of the University of Georgia’s athletic teams.
-
B.
Ugo
Ugo is an Italian given name, cognate with the English name Hugh, traditionally associated with meanings related to mind, spirit, or heart.
-
C.
Jeb
Jeb is a masculine given name, often used as a diminutive of names like Jebediah or James.
-
D.
Kuvempu
Kuvempu was a renowned Indian poet, novelist, and playwright who became one of the most influential figures in modern Kannada literature and a leading voice of the Navodaya literary movement.
-
E.
Krueger
Krueger is a German-origin surname borne by numerous notable individuals across fields such as military, politics, arts, and academia.
- 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_69aed93a96908190bcbdbfa718f155bd |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9602a7c81909743672392f832f6 |
completed | March 9, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b533b57ad08190972d385a133c73b8 |
completed | March 14, 2026, 10:08 a.m. |
Created at: March 9, 2026, 3:31 p.m.