Triple
T10632041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 601st Special Forces Group |
E250479
|
entity |
| Predicate | usesInsertionMethods |
P33646
|
FINISHED |
| Object | airborne insertion |
—
|
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: airborne insertion | Statement: [601st Special Forces Group, usesInsertionMethods, airborne insertion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesInsertionMethods Context triple: [601st Special Forces Group, usesInsertionMethods, airborne insertion]
-
A.
insertedUnder
Indicates that one entity has been placed or positioned beneath another entity, typically in a physical or structural context.
-
B.
usesMethods
chosen
Indicates that one entity employs, applies, or relies on specific methods or techniques to perform an action or achieve a result.
-
C.
usesAccessMethod
Indicates that one entity employs or relies on a particular access method to reach, interact with, or retrieve another entity or resource.
-
D.
injectsInto
Indicates that one entity introduces or forces a substance or element into another entity, typically via a directed flow or insertion process.
-
E.
insertedBy
Indicates that one entity was placed, added, or introduced into another entity or context by a specific agent or process.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df94dc1c8190b6347eaf35a5acc2 |
completed | April 8, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69d6dd7fae088190973f70c69738af49 |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:01 p.m.