Triple
T1865778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Armed Services Vocational Aptitude Battery |
E34916
|
entity |
| Predicate | hasSubtest |
P25619
|
FINISHED |
| Object | General Science |
—
|
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: General Science | Statement: [Armed Services Vocational Aptitude Battery, hasSubtest, General Science]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubtest Context triple: [Armed Services Vocational Aptitude Battery, hasSubtest, General Science]
-
A.
hasSubcomponent
chosen
Indicates that one entity is a constituent part or component of another, larger entity.
-
B.
hasSubProcess
Indicates that one process is composed of or includes another process as a subordinate or component step.
-
C.
hasSubPeriod
Indicates that a time period is composed of or contains another, more specific time period as a subordinate part.
-
D.
hasSubTerminal
Indicates that an entity includes or is associated with a subordinate or lower-level terminal element within a hierarchical structure.
-
E.
hasSubset
Indicates that one set is entirely contained within another set, with all elements of the first set also belonging to the second.
- 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_69a88600b2f88190bc09303e68ab517e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb16c09e48190a345c95eab59fd87 |
completed | March 7, 2026, 5:02 a.m. |
| PD | Predicate disambiguation | batch_69abafe02c3c819093a4744b476106ca |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:34 p.m.