Triple
T12832638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SR 71 |
E306825
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Altha, Florida |
E422637
|
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: Altha, Florida | Statement: [SR 71, passesThrough, Altha, Florida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Altha, Florida Context triple: [SR 71, passesThrough, Altha, Florida]
-
A.
Altha, Florida
chosen
Altha, Florida is a small rural town in the Florida Panhandle known for its agricultural community and close-knit, small-town character.
-
B.
Lovett, Florida
Lovett, Florida is a small unincorporated rural community located in Madison County in the northern part of the state.
-
C.
Umatilla, Florida
Umatilla, Florida is a small city in central Florida known as a gateway to the Ocala National Forest and for its rural, lakeside character.
-
D.
Alford, Florida
Alford, Florida is a small rural town located in the Florida Panhandle region of the United States.
-
E.
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.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96fb0bb208190bdc4d3dc7909be06 |
completed | April 10, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68ed8d20081908e0fb5262b354cab |
completed | May 2, 2026, 11:55 p.m. |
Created at: April 9, 2026, 5:34 p.m.