Triple
T12696004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Griffin-Spalding County Airport |
E303334
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object | Spalding County |
E18424
|
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: Spalding County | Statement: [Griffin-Spalding County Airport, owner, Spalding County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spalding County Context triple: [Griffin-Spalding County Airport, owner, Spalding County]
-
A.
Spalding County
chosen
Spalding County is a county in west-central Georgia, United States, known for its seat, the city of Griffin, and its location within the Atlanta metropolitan area.
-
B.
Jones County
Jones County is a rural county in the U.S. state of Texas, known for its agricultural economy and small communities near the Abilene region.
-
C.
Jones County
Jones County is a county in central Georgia, United States, known for its rural character and proximity to the city of Macon.
-
D.
Jones County
Jones County is a county in southeastern Mississippi known for its seat in Laurel and its historical role in the state's timber and agricultural industries.
-
E.
Jones County
Jones County is a rural county in eastern North Carolina known for its extensive forests, wetlands, and outdoor recreation areas.
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ebd17081909f983567e4b36533 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d7a9e6c81908ae78daace02e7ec |
completed | May 3, 2026, 2:36 p.m. |
Created at: April 9, 2026, 5:22 p.m.