Triple
T11895378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgia State Route 87 |
E283022
|
entity |
| Predicate | servesCity |
P82
|
FINISHED |
| Object | Cochran, Georgia |
E187264
|
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: Cochran, Georgia | Statement: [Georgia State Route 87, servesCity, Cochran, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cochran, Georgia Context triple: [Georgia State Route 87, servesCity, Cochran, Georgia]
-
A.
Cochran, Georgia
chosen
Cochran, Georgia is a small city in Bleckley County known as a rural community and home to Middle Georgia State University’s Cochran campus.
-
B.
Coolidge, Georgia
Coolidge, Georgia is a small rural city located in Thomas County in the southern part of the U.S. state of Georgia.
-
C.
Whigham, Georgia
Whigham, Georgia is a small rural city in the southwestern part of the state known for its tight-knit community and agricultural surroundings.
-
D.
Guyton, Georgia
Guyton, Georgia is a small city in southeastern Georgia known for its historic charm and role as a residential community within the Savannah metropolitan area.
-
E.
Glynco, Georgia
Glynco, Georgia is a community near Brunswick best known as the primary campus and headquarters of the Federal Law Enforcement Training Centers (FLETC).
- 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8dd1286808190949719f54ff49a01 |
completed | April 10, 2026, 11:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f41811e5ac8190a3e397e31f19bca1 |
completed | May 1, 2026, 3:03 a.m. |
Created at: April 8, 2026, 9:44 p.m.