Triple
T17402872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madison County, Florida |
E423136
|
entity |
| Predicate | hasCommunity |
P2605
|
FINISHED |
| Object | Greenville, Florida |
—
|
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: Greenville, Florida | Statement: [Madison County, Florida, hasCommunity, Greenville, Florida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greenville, Florida Context triple: [Madison County, Florida, hasCommunity, Greenville, Florida]
-
A.
Greenville, Florida
chosen
Greenville, Florida is a small rural town in northern Florida best known as the childhood home of musician Ray Charles.
-
B.
Greensboro, Florida
Greensboro, Florida is a small town in Gadsden County that forms part of the broader Tallahassee metropolitan region in the Florida Panhandle.
-
C.
Greenwood, Florida
Greenwood, Florida is a small rural town in the Florida Panhandle known for its agricultural surroundings and historic Southern character.
-
D.
Groveland, Florida
Groveland, Florida is a small city in Lake County known for its rural character, lakes, and proximity to Central Florida’s scenic highlands.
-
E.
Gretna, Florida
Gretna, Florida is a small rural city in the Florida Panhandle known for its predominantly African American community and agricultural surroundings.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b051cc48190872278ee0b52240d |
completed | April 19, 2026, 2:16 a.m. |
Created at: April 10, 2026, 5:45 a.m.