Triple
T3680766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamilton County, Florida |
E78104
|
entity |
| Predicate | hasBorderingCounty |
P6346
|
FINISHED |
| Object | Columbia County, Florida |
E15181
|
NE FINISHED |
How this triple was built (3 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: Columbia County, Florida | Statement: [Hamilton County, Florida, hasBorderingCounty, Columbia County, Florida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Columbia County, Florida Context triple: [Hamilton County, Florida, hasBorderingCounty, Columbia County, Florida]
-
A.
Columbia County, Florida
chosen
Columbia County, Florida is a north-central Florida county known for its seat in Lake City, its location along major transportation routes, and its mix of rural communities, forests, and freshwater springs.
-
B.
Calhoun County, Florida
Calhoun County, Florida is a small, rural county in the Florida Panhandle known for its forests, rivers, and agricultural landscape.
-
C.
Union County, Florida
Union County, Florida is a small, predominantly rural county in north-central Florida known for its agricultural landscape and correctional institutions.
-
D.
Washington County, Florida
Washington County, Florida is a rural county in the Florida Panhandle known for its small towns, natural springs, and location along major east–west transportation routes.
-
E.
Madison County, Florida
Madison County, Florida is a rural county in northern Florida known for its agricultural landscape, small towns, and location along major east–west transportation routes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBorderingCounty Context triple: [Hamilton County, Florida, hasBorderingCounty, Columbia County, Florida]
-
A.
hasNearbyCounty
Indicates that one county is geographically close to or directly adjacent to another county.
-
B.
adjacentToCounty
chosen
Indicates that one county directly borders or touches another county geographically.
-
C.
includesCounty
Indicates that a larger geographic or administrative region contains or encompasses a specific county within its boundaries.
-
D.
borderedBy
Indicates that one entity shares a common boundary or edge with another entity.
-
E.
bordersCountyAcrossWater
Indicates that one county is separated from and adjacent to another county by a body of water rather than by land.
- F. None of above.
Provenance (4 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_69ad85e18c1c8190be8aafb227f39f48 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc49153ec81909ff3a3df54416d0e |
completed | March 8, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87dfc46e08190bea27c11b987cb6d |
completed | April 10, 2026, 4:35 a.m. |
| PD | Predicate disambiguation | batch_69adb84be1fc81909721c871babb4633 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:25 p.m.