Triple
T34240301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Low Altitude Air Defense Battalion (as assigned) |
E878443
|
entity |
| Predicate | typicalWeaponSystem |
P7745
|
FINISHED |
| Object | FIM-92 Stinger |
E398940
|
NE 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: FIM-92 Stinger | Statement: [Low Altitude Air Defense Battalion (as assigned), typicalWeaponSystem, FIM-92 Stinger]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalWeaponSystem Context triple: [Low Altitude Air Defense Battalion (as assigned), typicalWeaponSystem, FIM-92 Stinger]
-
A.
weaponSystemType
Indicates the specific category or kind of weapon system associated with an entity.
-
B.
weaponSystemAssociatedWith
Indicates that one entity is functionally or organizationally connected to a particular weapon system, such as by using, supporting, or being part of that system.
-
C.
opposingWeaponSystem
Indicates that one weapon system is designed, used, or configured to counter, neutralize, or operate in direct opposition to another weapon system.
-
D.
typicalWeapon
chosen
Indicates that the object is a weapon commonly or characteristically used by the subject.
-
E.
weaponCapability
Indicates that one entity has the ability to use, deploy, or function as a weapon against another entity or target.
- F. None of above.
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_69f349b22d8c819096b22df268382aa9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36d5eb1d9881909ff2e6f98565de94 |
completed | June 20, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:56 a.m.