Triple
T23166000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Nebraska at Kearney wrestling team |
E578711
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object | Lopers |
—
|
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: Lopers | Statement: [University of Nebraska at Kearney wrestling team, mascot, Lopers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lopers Context triple: [University of Nebraska at Kearney wrestling team, mascot, Lopers]
-
A.
Lopers
chosen
Lopers is the nickname of the University of Nebraska at Kearney’s athletic teams, particularly known for their competitive NCAA Division II wrestling program.
-
B.
Loperhet
Loperhet is a coastal commune in the Finistère department of Brittany in northwestern France, situated near the Rade de Brest.
-
C.
Loopt
Loopt was an early location-based social networking mobile app startup that allowed users to share their real-time location with friends.
-
D.
Lopes
Lopes is the nickname for the athletic teams representing Grand Canyon University.
-
E.
Lopes
Lopes is a Portuguese-origin surname commonly found in Portuguese-speaking countries and their diasporas.
- 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_69e245fc75348190a0288401044c8af8 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f2bca4881909f6148d588948018 |
completed | April 29, 2026, 4:55 a.m. |
Created at: April 17, 2026, 4:03 p.m.