Triple
T1742016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgia Gold Belt |
E38253
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Carrollton |
E163434
|
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: Carrollton | Statement: [Georgia Gold Belt, containsCity, Carrollton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carrollton Context triple: [Georgia Gold Belt, containsCity, Carrollton]
-
A.
Carrollton
Carrollton is a suburban city in the Dallas–Fort Worth metropolitan area known for its residential communities, business parks, and convenient access to major highways.
-
B.
Carrollton
chosen
Carrollton is a city in western Georgia that serves as a regional hub for education, commerce, and culture.
-
C.
Conroe
Conroe is a city in southeastern Texas, United States, located north of Houston and known for its rapid growth and proximity to Lake Conroe.
-
D.
Rowlett
Rowlett is a suburban city in the Dallas–Fort Worth metropolitan area of Texas, known for its location along Lake Ray Hubbard and family-oriented residential communities.
-
E.
Duncanville
Duncanville is a suburban city in the Dallas–Fort Worth metropolitan area of North Texas.
- 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_69a8862b01a48190ab47209063af82d9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63c6d21c8190809bedaa798e2b14 |
completed | March 6, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeaca5f348190a8c1be9948d960e6 |
completed | March 8, 2026, 9:31 p.m. |
Created at: March 4, 2026, 7:30 p.m.