Triple
T1750151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 88 mm Flak gun |
E38420
|
entity |
| Predicate | mountingType |
P2519
|
FINISHED |
| Object | cruciform carriage |
—
|
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: cruciform carriage | Statement: [88 mm Flak gun, mountingType, cruciform carriage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mountingType Context triple: [88 mm Flak gun, mountingType, cruciform carriage]
-
A.
mountType
chosen
Indicates the manner or configuration in which one object is mounted or attached to another.
-
B.
mountingLocation
Indicates the physical position or surface on which something is attached, fixed, or installed.
-
C.
driveType
Indicates the type or configuration of the drive mechanism used to power or propel an entity.
-
D.
typeOfFixing
Indicates the specific method or manner in which one entity is fastened, attached, or secured to another.
-
E.
typeOfInstallation
Indicates the specific kind or category of installation associated with an entity (e.g., how or in what form something is installed).
- 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_69a8862bdb2081908aefe831c8aa8017 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aba6a63f588190b53b39c6b97d74f4 |
completed | March 7, 2026, 4:16 a.m. |
| PD | Predicate disambiguation | batch_69aa61c7ef4c8190abec87c96a787d82 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.