Triple
T7222889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coweta County Courthouse |
E150302
|
entity |
| Predicate | hasAddressCity |
P4379
|
FINISHED |
| Object | Newnan |
E51975
|
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: Newnan | Statement: [Coweta County Courthouse, hasAddressCity, Newnan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Newnan Context triple: [Coweta County Courthouse, hasAddressCity, Newnan]
-
A.
Newnan, Georgia
chosen
Newnan, Georgia is a historic city in west-central Georgia, known for its well-preserved antebellum architecture and role as a regional economic and cultural center.
-
B.
Acworth
Acworth is a small city in northwestern Georgia, United States, known for its historic downtown and proximity to Lake Acworth and Lake Allatoona.
-
C.
Nashborough
Nashborough was an early American frontier settlement that later became the city of Nashville, Tennessee.
-
D.
Titisee-Neustadt
Titisee-Neustadt is a popular resort town in Germany’s Black Forest region, known for its scenic lake Titisee, winter sports facilities, and tourism.
-
E.
Crossville
Crossville is a small city in central Tennessee known as the "Golf Capital of Tennessee" and a gateway to the Cumberland Plateau.
- 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_69c687effb44819092b95d07d0368c9f |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e9b54a5c8190a4a289f32853a8fe |
completed | March 27, 2026, 8:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cc0c3ff08190b855fa57967586ce |
completed | March 28, 2026, 12:39 p.m. |
Created at: March 27, 2026, 2:54 p.m.