Triple
T25786227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Block VI |
E649423
|
entity |
| Predicate | roleInClass |
P177998
|
FINISHED |
| Object | iterative improvement over earlier Virginia-class blocks |
—
|
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: iterative improvement over earlier Virginia-class blocks | Statement: [Block VI, roleInClass, iterative improvement over earlier Virginia-class blocks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInClass Context triple: [Block VI, roleInClass, iterative improvement over earlier Virginia-class blocks]
-
A.
courseRole
Indicates the specific function or position an individual holds within a course, such as student, instructor, or assistant.
-
B.
schoolRole
Indicates the specific function, position, or capacity an entity holds within a school context (e.g., student, teacher, administrator).
-
C.
roleWithTeacher
Indicates a relationship where one entity holds a specific role or position in relation to a teacher.
-
D.
roleInMyOctopusTeacher
Indicates that an entity has a specific role or participation in the documentary "My Octopus Teacher."
-
E.
roleWithinCollege
Indicates the specific position, function, or capacity an entity holds within a particular college.
- 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_69e7ab33e9308190afe415dc6f9e8876 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f707f7959881908f037f0d6b1d0c36 |
completed | May 3, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69f700fc274c8190a128593dc7c7abd0 |
completed | May 3, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69f707f380388190954b79d52a321921 |
completed | May 3, 2026, 8:31 a.m. |
Created at: April 22, 2026, 5:55 a.m.