Triple
T27609624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presidential Helicopter Replacement Program |
E700277
|
entity |
| Predicate | aircraftSelected |
P73438
|
FINISHED |
| Object | VH-71 Kestrel |
—
|
NE NERFINISHED |
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: VH-71 Kestrel | Statement: [Presidential Helicopter Replacement Program, aircraftSelected, VH-71 Kestrel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aircraftSelected Context triple: [Presidential Helicopter Replacement Program, aircraftSelected, VH-71 Kestrel]
-
A.
aircraftType
Indicates the specific model or category of aircraft associated with an entity or event.
-
B.
intendedAircraft
chosen
Indicates that an aircraft is the one planned or designated to be used for a particular flight, mission, or operation.
-
C.
basedOnAircraft
Indicates that one entity is derived from, modeled after, or otherwise uses a particular aircraft as its basis or primary reference.
-
D.
aircraftConfiguration
Indicates the specific arrangement or setup of an aircraft’s components, systems, or features for a given purpose or operating condition.
-
E.
aircraftAlternativeName
Indicates that an aircraft is known by an alternative or additional name, designation, or alias.
- 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_69ef6a4e2e208190b63b7268f405785c |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c2198208190a3954086c22cfcbf |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 27, 2026, 2:10 p.m.