Triple
T2975539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mitsubishi J8M |
E80384
|
entity |
| Predicate | intendedClimbPerformance |
P38209
|
FINISHED |
| Object | very high rate of climb to bomber altitude |
—
|
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: very high rate of climb to bomber altitude | Statement: [Mitsubishi J8M, intendedClimbPerformance, very high rate of climb to bomber altitude]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedClimbPerformance Context triple: [Mitsubishi J8M, intendedClimbPerformance, very high rate of climb to bomber altitude]
-
A.
rateOfClimb
Indicates the vertical speed at which an entity ascends or descends over time.
-
B.
climbPerformance
chosen
Indicates how effectively or rapidly an entity ascends or gains altitude relative to conditions or expectations.
-
C.
altitudeCapability
Indicates the maximum or typical altitude at which an entity can effectively operate or function.
-
D.
runwayPerformance
Indicates the performance characteristics or behavior of an entity (such as an aircraft or vehicle) when operating on a runway, including factors like acceleration, deceleration, and required distances.
-
E.
hasInstrumentApproach
Indicates that an approach procedure to a location or runway is conducted using specified navigation instruments or instrument-based methods.
- 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_69ad8b14ffe881908ffed62f9595c867 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad998ad5308190a012ec4940eb46cb |
completed | March 8, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69ad96105a708190a9ec4838cbcb1207 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:58 p.m.