Triple
T16108655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bradford County, Florida |
E390809
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Lawtey, Florida
Lawtey, Florida is a small city in northeastern Florida known historically as a railroad and agricultural community within the Jacksonville metropolitan area.
|
E1194393
|
NE FINISHED |
How this triple was built (4 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: Lawtey, Florida | Statement: [Bradford County, Florida, contains, Lawtey, Florida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lawtey, Florida Context triple: [Bradford County, Florida, contains, Lawtey, Florida]
-
A.
Lantana, Florida
Lantana, Florida is a small coastal town in Palm Beach County known for its beaches, marina, and relaxed residential character along the Atlantic shoreline.
-
B.
Layton, Florida
Layton, Florida is a small coastal city in the Florida Keys located on Long Key in Monroe County.
-
C.
Lovett, Florida
Lovett, Florida is a small unincorporated rural community located in Madison County in the northern part of the state.
-
D.
Lee, Florida
Lee, Florida is a small rural town located in northern Florida within Madison County.
-
E.
Laurel, Florida
Laurel, Florida is an unincorporated coastal community in Sarasota County known for its residential neighborhoods and proximity to the Gulf of Mexico.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lawtey, Florida Triple: [Bradford County, Florida, contains, Lawtey, Florida]
Generated description
Lawtey, Florida is a small city in northeastern Florida known historically as a railroad and agricultural community within the Jacksonville metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lawtey, Florida Target entity description: Lawtey, Florida is a small city in northeastern Florida known historically as a railroad and agricultural community within the Jacksonville metropolitan area.
-
A.
Lantana, Florida
Lantana, Florida is a small coastal town in Palm Beach County known for its beaches, marina, and relaxed residential character along the Atlantic shoreline.
-
B.
Layton, Florida
Layton, Florida is a small coastal city in the Florida Keys located on Long Key in Monroe County.
-
C.
Lovett, Florida
Lovett, Florida is a small unincorporated rural community located in Madison County in the northern part of the state.
-
D.
Lee, Florida
Lee, Florida is a small rural town located in northern Florida within Madison County.
-
E.
Laurel, Florida
Laurel, Florida is an unincorporated coastal community in Sarasota County known for its residential neighborhoods and proximity to the Gulf of Mexico.
- F. None of above. chosen
Provenance (5 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e20165aa9c81908c5358cca2b0d0fe |
completed | April 17, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeba4479c81909f7d43e33f228f7e |
completed | May 10, 2026, 2:21 a.m. |
| NEDg | Description generation | batch_69ffecb8c71481908b4913bb078b6415 |
completed | May 10, 2026, 2:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffed469a5c8190932fa4ebc44358c4 |
completed | May 10, 2026, 2:28 a.m. |
Created at: April 10, 2026, 5 a.m.