Triple
T203437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States militia forces |
E4556
|
entity |
| Predicate | mobilizationMethod |
P10220
|
FINISHED |
| Object | call-up by state authorities |
—
|
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: call-up by state authorities | Statement: [United States militia forces, mobilizationMethod, call-up by state authorities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mobilizationMethod Context triple: [United States militia forces, mobilizationMethod, call-up by state authorities]
-
A.
movementType
Indicates the manner or mode in which an entity moves or is moved from one place or state to another.
-
B.
movementIn
Indicates a relationship where an entity moves within, into, or inside a specified area, space, or container.
-
C.
distributionMethod
Indicates the means or channel through which something (such as a product, resource, or information) is delivered or made available to recipients.
-
D.
driveType
Indicates the type or configuration of the drive mechanism used to power or propel an entity.
-
E.
foundingMethod
Indicates the way or process by which an entity (such as an organization, institution, or settlement) was originally established or created.
- 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_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. |
| PDg | Predicate description generation | batch_69a25f4602c081909e89de233cbc5670 |
completed | Feb. 28, 2026, 3:21 a.m. |
Created at: Feb. 28, 2026, 2:51 a.m.