Triple
T13011840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morgan County |
E322434
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Rich County |
E509979
|
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: Rich County | Statement: [Morgan County, borders, Rich County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rich County Context triple: [Morgan County, borders, Rich County]
-
A.
Rich County
chosen
Rich County is a sparsely populated rural county in northeastern Utah, known for its ranching communities and proximity to Bear Lake.
-
B.
Marshall County
Marshall County is a centrally located county in the U.S. state of Iowa, known for its agricultural landscape and the city of Marshalltown as its county seat.
-
C.
Marshall County
Marshall County is a county in northern Alabama known for its scenic location around Lake Guntersville and its mix of small towns and rural communities.
-
D.
Marshall County
Marshall County is a rural county in northwestern Minnesota known for its agricultural landscape and small communities.
-
E.
Iron County
Iron County is a county in southwestern Utah known for its mix of high desert and mountain landscapes, including parts of the Dixie National Forest and Cedar Breaks National Monument.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e9e14b88190a2cee8e0c9bf31c8 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7265d09d881909c21423d93af39cd |
completed | May 3, 2026, 10:41 a.m. |
Created at: April 9, 2026, 8:49 p.m.