Triple
T20490507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German submarine U-75 |
E502729
|
entity |
| Predicate | propellerDiameter_m |
P140285
|
FINISHED |
| Object | 1.23 |
—
|
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: 1.23 | Statement: [German submarine U-75, propellerDiameter_m, 1.23]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: propellerDiameter_m Context triple: [German submarine U-75, propellerDiameter_m, 1.23]
-
A.
rotorDiameter
Indicates the relationship where a rotor is associated with a specific measurement representing the diameter of its circular span.
-
B.
propellerType
Indicates the specific kind or classification of propeller associated with an entity.
-
C.
fuselageDiameter
Indicates the diameter measurement of an aircraft’s fuselage in the described context.
-
D.
propellerBladesPerPropeller
Indicates the number of blades associated with each individual propeller.
-
E.
propellerBlades
Indicates that something has propeller blades as a component or feature.
- F. None of above. chosen
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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cb8e7848190a1dc497a10ae798c |
completed | April 20, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69e59fcdf6e08190a604204615dc56e6 |
completed | April 20, 2026, 3:38 a.m. |
| PDg | Predicate description generation | batch_69e5a6a824748190bbe6192d73f3c613 |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:35 a.m.