Triple
T5792971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GA-316 |
E128438
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Bogart, Georgia |
E202619
|
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: Bogart, Georgia | Statement: [GA-316, passesNear, Bogart, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bogart, Georgia Context triple: [GA-316, passesNear, Bogart, Georgia]
-
A.
Bogart, Georgia
chosen
Bogart, Georgia is a small town in northeastern Georgia located near the Athens metropolitan area.
-
B.
Blakely, Georgia
Blakely, Georgia is a small city in southwestern Georgia that serves as the administrative and economic center of Early County.
-
C.
De Soto, Georgia
De Soto, Georgia is a small rural city located in southwestern Georgia in the United States.
-
D.
Statesboro, Georgia
Statesboro, Georgia is a small city in southeastern Georgia known as a regional hub for education, commerce, and as the home of Georgia Southern University.
-
E.
Lovett, Georgia
Lovett, Georgia is a small unincorporated rural community located in Laurens County in the central part of the state.
- 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_69c00845ca68819081a2ce3ecca577f7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a5870b88190bbfaac2782635128 |
completed | March 22, 2026, 5:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c09824c7f0819095565e0f29b3a508 |
completed | March 23, 2026, 1:32 a.m. |
Created at: March 22, 2026, 3:51 p.m.