Triple
T203424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States militia forces |
E4556
|
entity |
| Predicate | roleRelativeTo |
P268
|
FINISHED |
| Object | supplemented the small regular U.S. Army |
—
|
LITERAL 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: supplemented the small regular U.S. Army | Statement: [United States militia forces, roleRelativeTo, supplemented the small regular U.S. Army]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleRelativeTo Context triple: [United States militia forces, roleRelativeTo, supplemented the small regular U.S. Army]
-
A.
role
chosen
Indicates the function, position, or responsibility that one entity holds in relation to another within a given context.
-
B.
refersToRole
Indicates that one entity designates, mentions, or points to another entity specifically in its capacity as a role or position.
-
C.
identificationRole
Indicates that an entity serves as an identifier or plays a role in uniquely distinguishing or recognizing another entity.
-
D.
typeOfRole
Indicates that one entity specifies the kind or category of role that another entity holds or performs.
-
E.
subjectPosition
Indicates the spatial or logical position of a subject relative to a reference frame, context, or other entities.
- F. None of above.
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_69a25737567c81908f9c505300239181 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25f46b4f081909e5ee3718109a71f |
completed | Feb. 28, 2026, 3:21 a.m. |
| PD | Predicate disambiguation | batch_69a25b4b42ec8190bef16bbbdd30a742 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:51 a.m.