Triple
T24981187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CTCs |
E625170
|
entity |
| Predicate | doctrineAlignedWith |
P91213
|
FINISHED |
| Object | U.S. Army training doctrine |
—
|
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: U.S. Army training doctrine | Statement: [CTCs, doctrineAlignedWith, U.S. Army training doctrine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doctrineAlignedWith Context triple: [CTCs, doctrineAlignedWith, U.S. Army training doctrine]
-
A.
alignedAgainst
Indicates that two or more entities are united in opposition to a common target, side, or objective.
-
B.
originallyAlignedWith
Indicates that an entity was initially in agreement, support, or association with another entity or group, regardless of any later changes in stance or affiliation.
-
C.
alignedWithPrinciple
chosen
Indicates that an entity’s behavior, decision, or state is consistent with and adheres to a specified principle or set of principles.
-
D.
basedOnAlignmentOf
Indicates a relationship where one entity is determined, derived, or decided according to how closely it aligns with another entity’s position, orientation, or criteria.
-
E.
alignmentWithLaw
Indicates the degree to which an action, policy, or entity conforms to or complies with applicable laws or legal standards.
- 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_69e2ff254570819093d197b1900305ac |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f4490636f88190b8e614202f6d7a65 |
completed | May 1, 2026, 6:32 a.m. |
| PD | Predicate disambiguation | batch_69f442c0c2e88190acd7f170f10ccef6 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 6:02 a.m.