Triple
T1669948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kentucky Route 84 |
E36100
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Hardin County |
E326217
|
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: Hardin County | Statement: [Kentucky Route 84, passesThrough, Hardin County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hardin County Context triple: [Kentucky Route 84, passesThrough, Hardin County]
-
A.
Hardin County
chosen
Hardin County is a county in central Kentucky known for its mix of rural communities, small cities like Elizabethtown, and its role as a regional economic and transportation hub.
-
B.
Shelby County
Shelby County is a rural county in southwestern Iowa known for its agricultural landscape and small communities.
-
C.
Loudon County
Loudon County is a county in eastern Tennessee that forms part of the Knoxville metropolitan region, known for its mix of suburban communities, rural landscapes, and access to the Tennessee River.
-
D.
Butler County
Butler County is a rural county in south-central Alabama known for its pine forests, small towns, and location along the Interstate 65 corridor.
-
E.
Butler County
Butler County is a county in western Pennsylvania, north of Pittsburgh, known for its mix of suburban communities, rural landscapes, and growing industrial and service sectors.
- 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_69a8861286808190939afff3ce8ee31e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa624285bc8190a763e99e548a3294 |
completed | March 6, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224711a908190b4be9dfcd7737edd |
completed | March 12, 2026, 2:26 a.m. |
Created at: March 4, 2026, 7:29 p.m.