Triple
T33898291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loudoun County, Colony of Virginia |
E868974
|
entity |
| Predicate | hadMilitia |
P177884
|
FINISHED |
| Object | Loudoun County colonial militia |
—
|
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: Loudoun County colonial militia | Statement: [Loudoun County, Colony of Virginia, hadMilitia, Loudoun County colonial militia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadMilitia Context triple: [Loudoun County, Colony of Virginia, hadMilitia, Loudoun County colonial militia]
-
A.
hadMilitaryObligationsTo
Indicates that one party was bound by duty or law to provide military service, support, or protection to another party.
-
B.
hadMilitaryPost
Indicates that an entity held an official position or assignment within a military organization.
-
C.
musteredIntoService
Indicates that an entity has been formally enrolled or assembled into active duty or official service under an authority.
-
D.
musteredIn
Indicates that an individual or unit was formally enrolled, assembled, or brought into active service within an organization, typically a military force.
-
E.
hadMilitaryFollowing
Indicates that an entity was supported or backed by a group of military personnel or forces.
- F. None of above. chosen
Provenance (4 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_69f34997703c8190866b1d404bce531f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7051ad6e4819095e82bbd64761803 |
completed | May 3, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69f700fe24e08190998e2c96fbaaad38 |
completed | May 3, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69f70519f114819080659840c04d7911 |
completed | May 3, 2026, 8:19 a.m. |
Created at: May 1, 2026, 1:48 a.m.