Triple
T22715282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McRae–Helena |
E561711
|
entity |
| Predicate | hasPredecessor |
P97
|
FINISHED |
| Object | McRae, Georgia |
—
|
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: McRae, Georgia | Statement: [McRae–Helena, hasPredecessor, McRae, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: McRae, Georgia Context triple: [McRae–Helena, hasPredecessor, McRae, 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.
De Soto, Georgia
De Soto, Georgia is a small rural city located in southwestern Georgia in the United States.
-
C.
Whigham, Georgia
Whigham, Georgia is a small rural city in the southwestern part of the state known for its tight-knit community and agricultural surroundings.
-
D.
Williamson, Georgia
Williamson, Georgia is a small rural city located in Pike County in the west-central part of the U.S. state of Georgia.
-
E.
St. Marys, Georgia
St. Marys, Georgia is a historic coastal town in southeastern Georgia known as a gateway to Cumberland Island and the surrounding marshes and waterways.
- 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_69e2454f1348819088d83f420925a5c1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1790ca59881909064d49f331fb711 |
completed | April 29, 2026, 3:20 a.m. |
Created at: April 17, 2026, 3:18 p.m.