Triple
T14610204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | served by Interstate 75 |
E342938
|
entity |
| Predicate | appliesTo |
P1129
|
FINISHED |
| Object | Morrow, Georgia |
E68444
|
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: Morrow, Georgia | Statement: [served by Interstate 75, appliesTo, Morrow, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morrow, Georgia Context triple: [served by Interstate 75, appliesTo, Morrow, Georgia]
-
A.
Morrow, Georgia
chosen
Morrow, Georgia is a small suburban city in the Atlanta metropolitan area known for housing Clayton State University and various retail and commercial centers.
-
B.
Montrose, Georgia
Montrose, Georgia is a small rural community located in central Georgia within Laurens County.
-
C.
Sylvania, Georgia
Sylvania, Georgia is a small city in Screven County known as the county seat and a historic community in eastern Georgia.
-
D.
Milford, Georgia
Milford, Georgia is a small unincorporated community located in rural southwestern Georgia within Baker County.
-
E.
Moultrie, Georgia
Moultrie, Georgia is a small city known as an agricultural and commercial center in southwest Georgia, particularly noted for its farming, livestock, and historic downtown.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb44f0dd48190a78662b5998a6722 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e7772508190bee1eb310aa40372 |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 1:25 a.m.