Triple
T14856221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Climax, Georgia |
E349357
|
entity |
| Predicate | hasOfficialName |
P66
|
FINISHED |
| Object | Climax, Georgia |
E349357
|
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: Climax, Georgia | Statement: [Climax, Georgia, hasOfficialName, Climax, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Climax, Georgia Context triple: [Climax, Georgia, hasOfficialName, Climax, Georgia]
-
A.
Climax, Georgia
chosen
Climax, Georgia is a small rural town in southwestern Georgia known for its agricultural community and annual Swine Time Festival.
-
B.
Sylvania, Georgia
Sylvania, Georgia is a small city in Screven County known as the county seat and a historic community in eastern Georgia.
-
C.
Claxton, Georgia
Claxton, Georgia is a small city in Evans County known as the "Fruitcake Capital of the World" for its prominent fruitcake industry.
-
D.
Clarkston, Georgia
Clarkston, Georgia is a small, diverse city in the Atlanta metropolitan area known for its large refugee and immigrant population.
-
E.
St. Marys, Georgia
St. Marys, Georgia is a historic coastal town in southeastern Georgia known as a gateway to Cumberland Island and the surrounding marshes and waterways.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded44458ec8190be295a95f5daab14 |
completed | April 14, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe65087708819084f51a043e5361e9 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:54 a.m.