Triple
T13190316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bachem Ba 349 Natter |
E313965
|
entity |
| Predicate | wingsConfiguration |
P6541
|
FINISHED |
| Object | mid-mounted straight wings |
—
|
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: mid-mounted straight wings | Statement: [Bachem Ba 349 Natter, wingsConfiguration, mid-mounted straight wings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wingsConfiguration Context triple: [Bachem Ba 349 Natter, wingsConfiguration, mid-mounted straight wings]
-
A.
hasWingConfiguration
Indicates how an entity’s wings are arranged, structured, or configured relative to its body or to each other.
-
B.
wingConfiguration
chosen
Indicates how the wings of an aircraft or creature are arranged or structured relative to its body and to each other.
-
C.
wingAdaptation
Indicates how an entity’s wings are modified or specialized to support particular functions, conditions, or environments.
-
D.
wingOf
Indicates that something is a wing that forms a physical or functional part of another entity.
-
E.
numberOfWings
Indicates the quantity of wings that an entity possesses.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc6bc108190b5a6a265bf6e9fd4 |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:15 p.m.