Triple
T15764927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | F-16 program |
E382194
|
entity |
| Predicate | aircraftProducedEstimate |
P19267
|
FINISHED |
| Object | over 4500 airframes |
—
|
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: over 4500 airframes | Statement: [F-16 program, aircraftProducedEstimate, over 4500 airframes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aircraftProducedEstimate Context triple: [F-16 program, aircraftProducedEstimate, over 4500 airframes]
-
A.
aircraftCategoryProduced
Indicates that an entity (such as a manufacturer or organization) has produced aircraft belonging to a specified aircraft category.
-
B.
notableAircraftProduced
Indicates that the subject entity has manufactured or been responsible for producing the specified aircraft, which are considered notable or significant.
-
C.
aircraftModelProduced
chosen
Indicates that a specific aircraft model has been manufactured or produced by a particular entity (such as a company or organization).
-
D.
appliedToAircraftBuiltBy
Indicates that something (such as a regulation, modification, or action) is applied specifically to aircraft that were built by a particular manufacturer or builder.
-
E.
aircraftConfigurationProduced
Indicates that a specific aircraft configuration has been manufactured or produced.
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e050b8154881908afe5191e6424f15 |
completed | April 16, 2026, 3 a.m. |
| PD | Predicate disambiguation | batch_69e00531e7ac8190a4190cce4f7fab4c |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:47 a.m.