Triple
T5416743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M230 30 mm chain gun |
E121150
|
entity |
| Predicate | actionType |
P689
|
FINISHED |
| Object | chain-driven |
—
|
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: chain-driven | Statement: [M230 30 mm chain gun, actionType, chain-driven]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: actionType Context triple: [M230 30 mm chain gun, actionType, chain-driven]
-
A.
actsOn
Indicates that one entity performs an action that affects, targets, or is directed toward another entity.
-
B.
fromAct
Indicates that an entity originates from, is produced by, or results from a specified action or event.
-
C.
actionSpace
Indicates the set of all possible actions an agent can take in a given environment or decision-making context.
-
D.
attemptedAction
Indicates that an entity made an effort to perform a particular action, regardless of whether the action was successfully completed.
-
E.
operationType
chosen
Indicates the specific kind of operation or action being performed or recorded in the relationship between entities.
- 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_69bd463a41cc8190b32ff5af2b96ca93 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87bff75881909bdfd2cdf7ff5657 |
completed | March 20, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69bd8469f5e48190bbe5c8bdfe8925ea |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:05 p.m.