Triple
T16554335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uga XI |
E402153
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Uga 11 |
E402153
|
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 11 | Statement: [Uga XI, nickname, Uga 11]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uga 11 Context triple: [Uga XI, nickname, Uga 11]
-
A.
Uga XI
chosen
Uga XI is the current live bulldog mascot of the University of Georgia’s athletic teams, continuing the school’s long-running Uga mascot lineage.
-
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.
Ug
Ug is a shape-shifting intergalactic bounty hunter featured in the sci-fi horror comedy film "Critters 2: The Main Course."
-
D.
U11
U11 is a light rail line of the Stuttgart Stadtbahn network in Stuttgart, Germany, primarily serving major event venues and key transit corridors in the city.
-
E.
Ala 11
Ala 11 is a fighter wing of the Spanish Air Force known for operating modern combat aircraft and contributing to Spain’s air defense and tactical operations.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34fc737ac8190b755e2a39b6ef32b |
completed | April 18, 2026, 9:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067ba4bec81909dfa87bcd2bfa7be |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:15 a.m.