Triple
T38079893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UGA–GT rivalry |
E950821
|
entity |
| Predicate | cityAssociationUGA |
P4747
|
FINISHED |
| Object | Athens, Georgia |
—
|
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: Athens, Georgia | Statement: [UGA–GT rivalry, cityAssociationUGA, Athens, Georgia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityAssociationUGA Context triple: [UGA–GT rivalry, cityAssociationUGA, Athens, Georgia]
-
A.
FloridaUniversity
Indicates that an entity is a university located in, associated with, or part of the higher-education system of the state of Florida.
-
B.
universityLocatedIn
Indicates that a university is situated within or associated with a specific geographic location or administrative region.
-
C.
stateCampus
Indicates that a campus is part of, located within, or administered by a particular state.
-
D.
hasCampusOn
Indicates that an institution or organization maintains a campus located on a specified geographic area or site.
-
E.
isCollegeTownOf
chosen
Indicates that a town or city is primarily known for and significantly shaped by the presence of a particular college or university.
- F. None of above.
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_69f76f03a3608190a73fd6df87c792a8 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:21 p.m.