Triple
T17819302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meade County |
E444933
|
entity |
| Predicate | namedFor |
P63
|
FINISHED |
| Object | Fort Meade |
—
|
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 Meade | Statement: [Meade County, namedFor, Fort Meade]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fort Meade Context triple: [Meade County, namedFor, Fort Meade]
-
A.
Fort Meade, Maryland
Fort Meade, Maryland is a major U.S. Army installation best known as the primary center for American military intelligence and cybersecurity operations.
-
B.
Fort Belvoir
Fort Belvoir is a major United States Army installation in Fairfax County, Virginia, that serves as a key administrative and logistical hub for numerous military and defense agencies.
-
C.
Fort McClellan
Fort McClellan is a former U.S. Army installation near Anniston, Alabama, historically used for infantry, military police, and chemical corps training.
-
D.
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.
-
E.
Fort George G. Meade
chosen
Fort George G. Meade is a major U.S. Army installation in Maryland that serves as a key center for military intelligence, cybersecurity, and defense communications operations.
- 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e489101aa48190a1439d8cb683bba9 |
completed | April 19, 2026, 7:49 a.m. |
Created at: April 10, 2026, 10:15 a.m.