Triple
T5242959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ossian Sweet |
E118387
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Bartow, Florida |
E399762
|
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: Bartow, Florida | Statement: [Ossian Sweet, placeOfBirth, Bartow, Florida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bartow, Florida Context triple: [Ossian Sweet, placeOfBirth, Bartow, Florida]
-
A.
Bartow, Florida, United States
chosen
Bartow is a small city in central Florida known as the county seat of Polk County and the birthplace of NFL Hall of Famer Ray Lewis.
-
B.
Springfield, Florida
Springfield, Florida is a small city in Bay County near Panama City, known as a residential community in Florida’s Panhandle.
-
C.
Crawfordville, Florida
Crawfordville, Florida is a small unincorporated community in the Florida Panhandle that serves as the administrative and commercial center of Wakulla County.
-
D.
Winter Haven, Florida
Winter Haven, Florida is a central Florida city known for its many lakes, water sports, and as the home of the Legoland Florida Resort.
-
E.
Apopka, Florida
Apopka, Florida is a city in central Florida known as the "Indoor Foliage Capital of the World" for its extensive greenhouse nurseries and plant industry.
- 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_69bd4468aacc8190a8196f71855cdf4f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b4da7308190856cdcee9cca41eb |
completed | March 20, 2026, 4:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef82b42308190b9e3e0e113d8093b |
completed | March 21, 2026, 7:57 p.m. |
Created at: March 20, 2026, 1:49 p.m.