Triple
T11039405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canton Municipal Airport |
E260968
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Canton, South Dakota |
E384674
|
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: Canton, South Dakota | Statement: [Canton Municipal Airport, serves, Canton, South Dakota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Canton, South Dakota Context triple: [Canton Municipal Airport, serves, Canton, South Dakota]
-
A.
Canton, South Dakota
chosen
Canton, South Dakota is a small city in southeastern South Dakota known for its historic downtown and role as a local commercial and cultural center.
-
B.
Hartford, South Dakota
Hartford, South Dakota is a small city in eastern South Dakota that serves as a growing residential community near Sioux Falls.
-
C.
Madison, South Dakota
Madison, South Dakota is a small city in eastern South Dakota known as a regional hub for education, technology, and agriculture.
-
D.
Columbia, South Dakota
Columbia, South Dakota is a small rural town located in northeastern South Dakota within Brown County.
-
E.
Westport, South Dakota
Westport, South Dakota is a small rural town located in northeastern South Dakota within Brown County.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797ff519481909ebc2515b3d241de |
completed | April 9, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a9d61b548190949f0dfbcb782064 |
completed | April 18, 2026, 3:57 p.m. |
Created at: April 8, 2026, 9:26 p.m.