Triple
T19247409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alamo, Georgia |
E481297
|
entity |
| Predicate | hasPostalDesignation |
P974
|
FINISHED |
| Object | Alamo, Georgia |
—
|
NE NERFINISHED |
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: Alamo, Georgia | Statement: [Alamo, Georgia, hasPostalDesignation, Alamo, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alamo, Georgia Context triple: [Alamo, Georgia, hasPostalDesignation, Alamo, Georgia]
-
A.
Alamo, Georgia
chosen
Alamo, Georgia is a small city in southeastern Georgia that serves as the administrative and commercial center of Wheeler County.
-
B.
De Soto, Georgia
De Soto, Georgia is a small rural city located in southwestern Georgia in the United States.
-
C.
Alapaha, Georgia
Alapaha, Georgia is a small rural town in Berrien County known for its historic Southern character and proximity to the Alapaha River in south-central Georgia.
-
D.
Siloam, Georgia
Siloam, Georgia is a small historic town in Greene County known for its rural character and Southern heritage.
-
E.
Argyle, Georgia
Argyle, Georgia is a small rural town in southern Georgia known for its quiet community and location within Clinch County.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb2daacc8190b8af99dee51f238d |
completed | April 20, 2026, 10:08 a.m. |
Created at: April 10, 2026, 1:27 p.m.