Triple
T3022312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California National Guard |
E82488
|
entity |
| Predicate | typicalFederalMissions |
P44675
|
FINISHED |
| Object | overseas deployments |
—
|
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: overseas deployments | Statement: [California National Guard, typicalFederalMissions, overseas deployments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalFederalMissions Context triple: [California National Guard, typicalFederalMissions, overseas deployments]
-
A.
federalSubject
Indicates that one entity is a federal subject (a primary administrative or constituent unit) of the other entity, typically a sovereign state or federation.
-
B.
federalEntityInvolved
Indicates that a federal-level government body or authority is involved in, associated with, or has jurisdiction over the referenced action or relationship.
-
C.
primaryMissionTo
Indicates that an entity has a main or principal mission directed toward or focused on another entity.
-
D.
federal
Indicates a relationship in which an entity is associated with, governed by, or belonging to a national-level (federal) government or system, as opposed to local or regional authorities.
-
E.
relatedMission
Indicates that one mission is connected or associated with another mission in a meaningful way, such as by shared goals, context, participants, or timeline.
- 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_69ad8b1fb34081908c1b873e2b7273e1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a963034819093d96566e9b0cea9 |
completed | March 8, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69ad961c430c8190ac48f2e3c7e7c649 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f6af3881909f4547967384114c |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 3 p.m.