Triple
T31275654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Army Doctrine Publication 3-0 Operations |
E797507
|
entity |
| Predicate | isCapstoneFor |
P171532
|
FINISHED |
| Object | Army operations doctrine |
—
|
NE NERFINISHED |
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: Army operations doctrine | Statement: [Army Doctrine Publication 3-0 Operations, isCapstoneFor, Army operations doctrine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCapstoneFor Context triple: [Army Doctrine Publication 3-0 Operations, isCapstoneFor, Army operations doctrine]
-
A.
hasCapstone
Indicates that an educational program, course, or curriculum includes a culminating capstone project or experience as a required or defining component.
-
B.
capstoneType
Indicates the specific kind or category of capstone project or experience associated with an entity.
-
C.
hasCapstoneWeight
Indicates that a capstone project or component is associated with a specific weighting or proportion within an overall evaluation or program structure.
-
D.
hasCapstoneLength
Indicates the length or duration associated with a capstone project or capstone component of something.
-
E.
capstoneDescription
Indicates that an entity serves as a culminating or final project, summarizing or integrating prior work or learning.
- 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_69f224de2bbc819081af6c32e1d857b9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69f80b62c8190bf2af2be0d3a7df8 |
completed | May 3, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69f69d1bf8cc8190a78dfa5ab00daf3a |
completed | May 3, 2026, 12:55 a.m. |
| PDg | Predicate description generation | batch_69f69edae2448190925ce701c8792c52 |
completed | May 3, 2026, 1:03 a.m. |
Created at: April 29, 2026, 9:13 p.m.