Triple
T3752382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LAV-M |
E81360
|
entity |
| Predicate | designedToProvide |
P9053
|
FINISHED |
| Object | mobile armored indirect fire support |
—
|
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: mobile armored indirect fire support | Statement: [LAV-M, designedToProvide, mobile armored indirect fire support]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designedToProvide Context triple: [LAV-M, designedToProvide, mobile armored indirect fire support]
-
A.
aimsToProvide
chosen
Indicates that one entity intends or is designed to supply, deliver, or make available something to another entity.
-
B.
providesThat
Indicates that one entity stipulates, specifies, or sets forth a condition, rule, or provision that applies to another entity or situation.
-
C.
providesFunctionalityOf
Indicates that one entity supplies, implements, or makes available the capabilities or functions that are normally associated with another entity.
-
D.
intendedToServe
Indicates that one entity was designed, planned, or purposed specifically to benefit, assist, or fulfill the needs of another entity.
-
E.
providesSupportTo
Indicates that one entity offers help, resources, or reinforcement to another entity to aid its function, stability, or success.
- 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_69ad8b19b7b08190a6188804e99c53e9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb92135c819093f6d616d3ad28ff |
completed | March 8, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69adc04adebc819088d7f36d0ac343a6 |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:35 p.m.