Triple
T11895381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgia State Route 87 |
E283022
|
entity |
| Predicate | servesCity |
P82
|
FINISHED |
| Object | McRae-Helena, Georgia |
E618501
|
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: McRae-Helena, Georgia | Statement: [Georgia State Route 87, servesCity, McRae-Helena, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: McRae-Helena, Georgia Context triple: [Georgia State Route 87, servesCity, McRae-Helena, Georgia]
-
A.
McRae-Helena, Georgia
chosen
McRae-Helena, Georgia is a small city in south-central Georgia that serves as the administrative and commercial hub of Telfair County.
-
B.
Metcalfe, Georgia
Metcalfe, Georgia is a small unincorporated rural community located in Thomas County in the southern part of the state.
-
C.
Haralson, Georgia
Haralson, Georgia is a small unincorporated community located in Coweta County in the west-central part of the state.
-
D.
Hulett, Georgia
Hulett, Georgia is a small unincorporated rural community located in Carroll County in the western part of the state.
-
E.
Sylvania, Georgia
Sylvania, Georgia is a small city in Screven County known as the county seat and a historic community in eastern Georgia.
- 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8dd1286808190949719f54ff49a01 |
completed | April 10, 2026, 11:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f41811e5ac8190a3e397e31f19bca1 |
completed | May 1, 2026, 3:03 a.m. |
Created at: April 8, 2026, 9:44 p.m.