Triple
T9319358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interstate 16 |
E224205
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Pooler, Georgia |
E156723
|
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: Pooler, Georgia | Statement: [Interstate 16, passesNear, Pooler, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pooler, Georgia Context triple: [Interstate 16, passesNear, Pooler, Georgia]
-
A.
Pooler, Georgia
chosen
Pooler, Georgia is a rapidly growing suburban city in Chatham County known for its proximity to Savannah and its retail, residential, and industrial development.
-
B.
Pavo, Georgia
Pavo, Georgia is a small rural community in southern Georgia known for its agricultural surroundings and small-town character.
-
C.
Odum, Georgia
Odum, Georgia is a small town in southeastern Georgia, United States, located in Wayne County.
-
D.
De Soto, Georgia
De Soto, Georgia is a small rural city located in southwestern Georgia in the United States.
-
E.
Hiawassee, Georgia
Hiawassee, Georgia is a small mountain town in northern Georgia known for its scenic location on Lake Chatuge and proximity to the Appalachian Mountains.
- 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_69ca8426d48481909596360f7791c7dd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd358c7d348190a10fd8670d7756f5 |
completed | April 1, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c7c1fc848190bbb3ef6a1ed7a7d2 |
completed | April 4, 2026, 8:11 a.m. |
Created at: March 30, 2026, 7:38 p.m.