Triple
T3338108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cotton Pickin’ Fair |
E70188
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Gay, Georgia |
E13421
|
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: Gay, Georgia | Statement: [Cotton Pickin’ Fair, location, Gay, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gay, Georgia Context triple: [Cotton Pickin’ Fair, location, Gay, Georgia]
-
A.
Gay, Georgia
chosen
Gay, Georgia is a small rural town in the U.S. state of Georgia, best known for its biannual Cotton Pickin’ Fair that draws visitors from across the region.
-
B.
Gray, Georgia
Gray, Georgia is a small city in Jones County that serves as a local hub within the central region of the state.
-
C.
Valdosta, Georgia
Valdosta, Georgia is a small city in southern Georgia known as a regional hub for education, retail, and sports, particularly high school football.
-
D.
Alvaton, Georgia
Alvaton, Georgia is an unincorporated rural community located in Meriwether County in the west-central part of the state.
-
E.
Geneva, Georgia
Geneva, Georgia is a small rural town located in west-central Georgia in the United States.
- 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_69ad85a24f208190bcf83131bfed3521 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1bc31b4819085f01e0b5a7cbc5d |
completed | March 8, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a8ad1a8819081d7ad2a48e2c5b9 |
completed | March 12, 2026, 7:56 p.m. |
Created at: March 8, 2026, 3:12 p.m.