Triple
T14165117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copperhead laser-guided projectile |
E351052
|
entity |
| Predicate | targetTypes |
P9903
|
FINISHED |
| Object | tanks |
—
|
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: tanks | Statement: [Copperhead laser-guided projectile, targetTypes, tanks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetTypes Context triple: [Copperhead laser-guided projectile, targetTypes, tanks]
-
A.
primaryTargetType
chosen
Indicates the main category or type of entity that is the principal focus or intended recipient of an action, effect, or operation.
-
B.
targetsProvidedBy
Indicates that one entity supplies or makes available specific targets for another entity to use or act upon.
-
C.
notableTargetType
Indicates that the subject is notable or significant specifically in relation to entities of the given target type.
-
D.
targetsSystems
Indicates that an entity is directed at, attacks, or is intended to affect specific systems.
-
E.
targetsUseCase
Indicates that one entity is aimed at or designed to address a particular use case associated with another entity.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b207cc8190b85b1ff0910b54da |
completed | April 14, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69de05b8434c81908c33b1b513463b12 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 12:59 a.m.