Triple
T3616616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Altamaha River |
E76615
|
entity |
| Predicate | hasMouthNear |
P350
|
FINISHED |
| Object | Darien, Georgia |
E377640
|
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: Darien, Georgia | Statement: [Altamaha River, hasMouthNear, Darien, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darien, Georgia Context triple: [Altamaha River, hasMouthNear, Darien, Georgia]
-
A.
Darien, Georgia
chosen
Darien, Georgia is a historic coastal city in McIntosh County known for its shrimping industry and scenic marshlands along the Atlantic coast.
-
B.
Vidette, Georgia
Vidette, Georgia is a small unincorporated rural community located in Burke County in the eastern part of the state.
-
C.
Union Point, Georgia
Union Point, Georgia is a small historic city in Greene County known for its railroad heritage and preserved 19th-century architecture.
-
D.
De Soto, Georgia
De Soto, Georgia is a small rural city located in southwestern Georgia in the United States.
-
E.
Bainbridge, Georgia
Bainbridge, Georgia is a small city in the southwestern part of the state known for its outdoor recreation, historic downtown, and proximity to major waterways near the Florida border.
- 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_69ad85dae2fc81908d1ceadbc6af0089 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc27c98088190a493c9eddf6b206a |
completed | March 8, 2026, 6:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c3852e60819092db2992e945a4c7 |
completed | March 14, 2026, 2:10 a.m. |
Created at: March 8, 2026, 3:23 p.m.