Triple
T7707787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iredell County |
E174665
|
entity |
| Predicate | bordersOn |
P224
|
FINISHED |
| Object | Caldwell County |
E669600
|
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: Caldwell County | Statement: [Iredell County, bordersOn, Caldwell County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caldwell County Context triple: [Iredell County, bordersOn, Caldwell County]
-
A.
Caldwell County
Caldwell County is a county in south-central Texas, known for its rural communities, agriculture, and inclusion in the Greater Austin metropolitan area.
-
B.
Caldwell County
chosen
Caldwell County is a county in western North Carolina known for its foothills location near the Blue Ridge Mountains and its mix of small towns, manufacturing, and outdoor recreation.
-
C.
Cochran County
Cochran County is a sparsely populated rural county in far west Texas known for its agriculture and location along the New Mexico border.
-
D.
Smith County
Smith County is a county in eastern Texas that includes the city of Tyler and serves as a regional hub for healthcare, education, and commerce.
-
E.
Smith County
Smith County is a rural county in central Mississippi known for its small communities, agriculture, and pine forests.
- 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_69c6995b3e8c8190833108f883d5f53c |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702aadea08190bf827f5d51535224 |
completed | March 27, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c902af947081908d09cba5e4e4e434 |
completed | March 29, 2026, 10:45 a.m. |
Created at: March 27, 2026, 4:04 p.m.