Triple
T32710721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panther platform |
E836396
|
entity |
| Predicate | firstModelYearInService |
—
|
GENERATED |
| Object | 1979 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstModelYearInService Context triple: [Panther platform, firstModelYearInService, 1979]
-
A.
inServiceStartYear
chosen
Indicates the year in which an entity first entered into active service or operation.
-
B.
firstArrivalYear
Indicates the calendar year in which an entity first arrived at or was initially present in a specified place or context.
-
C.
firstProductionYear
Indicates the year in which something (such as a product, work, or item) was first produced.
-
D.
firstModelIntroduced
Indicates that one entity is the earliest or original model introduced in relation to another entity or context.
-
E.
firstInstallmentYear
Indicates the year in which the first installment of a series of payments or releases occurs.
- F. None of above.
Provenance (1 batch)
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_69f3493446148190819541f3ffe79975 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:10 a.m.