Triple
T22555697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort Scott Municipal Airport |
E557674
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Fort Scott |
—
|
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: Fort Scott | Statement: [Fort Scott Municipal Airport, hasCity, Fort Scott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fort Scott Context triple: [Fort Scott Municipal Airport, hasCity, Fort Scott]
-
A.
Fort Scott, Kansas
chosen
Fort Scott, Kansas is a small historic city in southeastern Kansas known for its 19th-century frontier fort and role in Civil War-era conflicts.
-
B.
Fort Clark
Fort Clark was a frontier military outpost in the early United States that served as a key site for diplomatic negotiations and treaties with Native American nations.
-
C.
Pont Scott
Pont Scott is a bridge spanning the Saint-Charles River, serving as a local transportation link in Quebec City, Canada.
-
D.
Camp Mills
Camp Mills was a major World War I-era U.S. Army training and embarkation camp located on Long Island, New York.
-
E.
Bunker Hill, Kansas
Bunker Hill, Kansas is a small rural city in central Kansas known for its historic roots along the Smoky Hill River and its location near Interstate 70.
- 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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f78d8288190871d54db0a7f454b |
completed | April 29, 2026, 1:31 a.m. |
Created at: April 16, 2026, 8:52 p.m.