Triple
T36021636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DBR-1 |
E1042003
|
entity |
| Predicate | associatedWithAircraftRange |
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: [DBR-1, associatedWithAircraftRange, long-range]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithAircraftRange Context triple: [DBR-1, associatedWithAircraftRange, long-range]
-
A.
associatedWithCarrierAircraft
Indicates a relationship where something is linked or connected to a carrier-based aircraft, such as being used by, transported on, or otherwise functionally related to it.
-
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.
relatesToAircraft
Indicates a general relationship or association between an entity and an aircraft, without specifying the exact nature of that connection.
-
D.
aircraftDesignRange
Indicates the maximum distance an aircraft is designed to fly under specified conditions without refueling.
-
E.
associatedWithAircraftModel
Indicates that something has a specified relationship or connection to a particular aircraft model.
- 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_69f76e2c568881909e1e21f85252b0f0 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:07 p.m.