Triple
T21389395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pennsylvania Route 65 |
E527599
|
entity |
| Predicate | connectsWithCounty |
P13451
|
FINISHED |
| Object | Lawrence County |
—
|
NE NERFINISHED |
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: Lawrence County | Statement: [Pennsylvania Route 65, connectsWithCounty, Lawrence County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lawrence County Context triple: [Pennsylvania Route 65, connectsWithCounty, Lawrence County]
-
A.
Lawrence County
chosen
Lawrence County is a county in western Pennsylvania that forms part of the greater Pittsburgh metropolitan region.
-
B.
Lawrence County
Lawrence County is a rural county in northern Alabama known for its agricultural communities, outdoor recreation areas, and proximity to the Tennessee River.
-
C.
Lawrence County
Lawrence County is a county in southern Indiana known for its limestone industry and small towns such as Oolitic and Bedford.
-
D.
Lawrence County
Lawrence County is a rural county in central Mississippi known for its small communities, forests, and agricultural landscape.
-
E.
Lawrence County
Lawrence County is a county in western South Dakota known for including part of the Black Hills region and the historic city of Deadwood.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51ff3748190935c0a513c62a12b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee62cbfef08190a33ac1f198c82cd0 |
completed | April 26, 2026, 7:09 p.m. |
Created at: April 16, 2026, 5:13 p.m.