Triple
T15077721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borden County |
E380048
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Dawson County |
E260594
|
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: Dawson County | Statement: [Borden County, borderedBy, Dawson County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dawson County Context triple: [Borden County, borderedBy, Dawson County]
-
A.
Dawson County
Dawson County is a county in north-central Georgia, United States, known for its location in the Appalachian foothills and proximity to outdoor recreation areas such as Amicalola Falls State Park.
-
B.
Dawson County
chosen
Dawson County is a rural county in the western part of Texas known for its agriculture and oil production.
-
C.
Chaffee County
Chaffee County is a mountainous county in central Colorado known for its Arkansas River valley, outdoor recreation, and historic mining towns like Buena Vista and Salida.
-
D.
Custer County
Custer County is a largely rural county in central Nebraska known for its agricultural landscape and small communities.
-
E.
Custer County
Custer County is a rural county in south-central Colorado known for its scenic Wet Mountain Valley, ranching heritage, and outdoor recreation opportunities in the surrounding Wet Mountains and Sangre de Cristo Range.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dff7fe5a208190823900b25e298dab |
completed | April 15, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5d4f6a48190aeb42341b0c395a7 |
completed | May 9, 2026, 3:11 a.m. |
Created at: April 10, 2026, 3:03 a.m.