Triple
T2111794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crescent |
E42519
|
entity |
| Predicate | servesCity |
P82
|
FINISHED |
| Object | Toccoa |
E65520
|
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: Toccoa | Statement: [Crescent, servesCity, Toccoa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toccoa Context triple: [Crescent, servesCity, Toccoa]
-
A.
Toccoa, Georgia
chosen
Toccoa, Georgia is a small city in northeastern Georgia known for its historic downtown, nearby Toccoa Falls, and role as a regional hub in the Appalachian foothills.
-
B.
Ellijay
Ellijay is a small mountain town in northern Georgia known for its apple orchards, outdoor recreation, and historic role in the region’s gold-mining era.
-
C.
Dawsonville
Dawsonville is a small city in north Georgia known for its gold rush history and strong ties to stock car racing and NASCAR culture.
-
D.
De Soto, Georgia
De Soto, Georgia is a small rural city located in southwestern Georgia in the United States.
-
E.
Fort Payne
Fort Payne is a small city in northeastern Alabama known for its scenic Appalachian setting and historic role in the Cherokee Nation and the Trail of Tears.
- 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_69a8871040f08190aac2e2d0ab6b47ad |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbb0369a88190af02f0e4e05e2511 |
completed | March 7, 2026, 5:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae652fc57881908eaec85edfebeb15 |
completed | March 9, 2026, 6:14 a.m. |
Created at: March 4, 2026, 7:43 p.m.