Triple
T10424683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KJ-2000 |
E245754
|
entity |
| Predicate | flightRangeType |
P87342
|
FINISHED |
| Object | long-range |
—
|
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: long-range | Statement: [KJ-2000, flightRangeType, long-range]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flightRangeType Context triple: [KJ-2000, flightRangeType, long-range]
-
A.
flightRangeFocus
Indicates that the relationship centers on the range or distance a flight can cover, emphasizing limitations or focus on how far the flight can travel.
-
B.
aircraftRangeCategory
chosen
Indicates the classification of an aircraft based on the distance it is capable of flying on a typical mission or with standard fuel capacity.
-
C.
flightLevelRange
Indicates the range of permissible or actual flight levels associated with an aircraft’s operation or a specific flight segment.
-
D.
fuselageLengthRange
Indicates the range of possible or specified lengths of a fuselage, typically expressed as a minimum and maximum value.
-
E.
maximumRangeNauticalMiles
Indicates the greatest distance, measured in nautical miles, that something can travel or operate under specified conditions.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea47a6408190a87b32760692487f |
completed | April 7, 2026, 11:28 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb9d3648190aaabed901f22a8c0 |
completed | April 7, 2026, 10:43 a.m. |
Created at: April 6, 2026, 12:12 p.m.