Triple
T8233277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bölkow Bo‑105 |
E192343
|
entity |
| Predicate | mainRotorDiameter_m |
P22940
|
FINISHED |
| Object | 9.84 |
—
|
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: 9.84 | Statement: [Bölkow Bo‑105, mainRotorDiameter_m, 9.84]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainRotorDiameter_m Context triple: [Bölkow Bo‑105, mainRotorDiameter_m, 9.84]
-
A.
rotorDiameter
chosen
Indicates the relationship where a rotor is associated with a specific measurement representing the diameter of its circular span.
-
B.
mainRotorBlades
Indicates the relationship between a helicopter’s main rotor assembly and the blades that are attached to and rotate as part of that primary lifting rotor system.
-
C.
fanDiameter
Indicates the size of a fan measured as the length of a straight line passing through its center from one edge to the opposite edge.
-
D.
fairingDiameter
Indicates the diameter measurement of a payload fairing used to enclose or protect an object.
-
E.
fuselageDiameter
Indicates the diameter measurement of an aircraft’s fuselage in the described context.
- 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_69ca82db5b90819085d1ad7c2e27bfcc |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb782658fc8190885dc267355ff245 |
completed | March 31, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69cb36b1dea0819091418072501e79c1 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:46 p.m.