Triple
T3304033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RAuxAF |
E69403
|
entity |
| Predicate | isVolunteerForce |
P47918
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [RAuxAF, isVolunteerForce, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isVolunteerForce Context triple: [RAuxAF, isVolunteerForce, true]
-
A.
isRegularArmyUnit
Indicates that the entity functions as a formal, organized military unit within a country's regular (non-irregular) armed forces.
-
B.
UnionForcesType
Indicates that one entity is associated with, composed of, or characterized by a specific type or category of union forces.
-
C.
BritishForcesType
Indicates that an entity is classified as a type or category within the British armed forces.
-
D.
militaryOrganization
Indicates that an entity functions as, or is associated with, a structured armed forces or defense-related organization.
-
E.
hasReserveForces
Indicates that an entity possesses additional military or security personnel kept in reserve for potential future deployment or use.
- 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_69ad859f218081909458d2cebbf57565 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0c8179081908a2595d1fdb7560a |
completed | March 8, 2026, 5:24 p.m. |
| PD | Predicate disambiguation | batch_69ada42625308190be257f16a623a410 |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada526764881908e4bd52938d5374d |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:11 p.m.