Triple
T19113737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Robert, Missouri |
E467853
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Fort Leonard Wood |
—
|
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 Leonard Wood | Statement: [St. Robert, Missouri, adjacentTo, Fort Leonard Wood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fort Leonard Wood Context triple: [St. Robert, Missouri, adjacentTo, Fort Leonard Wood]
-
A.
Fort Leonard Wood, Missouri
chosen
Fort Leonard Wood, Missouri is a major U.S. Army training installation known for its engineer, chemical, and military police schools.
-
B.
Fort Benning
Fort Benning was a major U.S. Army installation in Georgia, long known as a primary training center for infantry and airborne forces.
-
C.
Fort Dix
Fort Dix is a major U.S. Army installation in New Jersey that has long served as a key training and mobilization center for American soldiers.
-
D.
Fort Custer Training Center
Fort Custer Training Center is a Michigan Army National Guard training facility near Battle Creek, Michigan, used for military exercises, readiness training, and support operations.
-
E.
Fort Huachuca
Fort Huachuca is a major U.S. Army installation in southeastern Arizona known for its roles in military intelligence, communications, and electronic testing.
- 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e39617408190b5134918f54f9c52 |
completed | April 20, 2026, 8:28 a.m. |
Created at: April 10, 2026, 12:05 p.m.