Triple
T10825079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catoosa County |
E255476
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Ringgold |
E193040
|
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: Ringgold | Statement: [Catoosa County, contains, Ringgold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ringgold Context triple: [Catoosa County, contains, Ringgold]
-
A.
Ringgold
chosen
Ringgold is a small city in northwestern Georgia known for its historic downtown and its location near the Tennessee border and Civil War sites.
-
B.
Golden, Texas
Golden, Texas is a small unincorporated rural community in East Texas known historically for agriculture and its annual sweet potato festival.
-
C.
Wimberley
Wimberley is a small, scenic town in central Texas known for its picturesque Hill Country landscapes, swimming holes, and artsy, tourist-friendly downtown.
-
D.
Arbuckle
Arbuckle is a small agricultural town in California’s Sacramento Valley, known for its farming community and rural character.
-
E.
Kingdale
Kingdale is a small community located within the Township of King in Ontario, Canada.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d734d0389c819090a892693c4046ed |
completed | April 9, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb1096cbc81908f3eda562c2da042 |
completed | April 14, 2026, 9:26 p.m. |
Created at: April 8, 2026, 9:19 p.m.