Triple
T24963283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pease Air National Guard Base |
E624667
|
entity |
| Predicate | previouslyHostedAircraftType |
P95792
|
FINISHED |
| Object | F-4 Phantom II |
—
|
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: F-4 Phantom II | Statement: [Pease Air National Guard Base, previouslyHostedAircraftType, F-4 Phantom II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previouslyHostedAircraftType Context triple: [Pease Air National Guard Base, previouslyHostedAircraftType, F-4 Phantom II]
-
A.
formerAircraft
Indicates that an entity was previously used or designated as an aircraft but no longer holds that status.
-
B.
previousAircraftUsed
Indicates that one aircraft was used immediately before another in a sequence of aircraft usage.
-
C.
previouslyOperatedWithAircraftType
chosen
Indicates that an entity has, at some time in the past, conducted operations using a specified type of aircraft.
-
D.
formerPrimaryAircraft
Indicates that an aircraft previously served as the main or primary aircraft for a given operator or entity, but no longer holds that status.
-
E.
predecessorAircraft
Indicates that one aircraft model directly precedes another in a developmental or generational sequence.
- 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_69e2ff23a3a88190b1b9743fe5e15f94 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f621fcea1481909b6f8b3af1ee6820 |
completed | May 2, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69f620dc38088190b56b2b15ed75b3c2 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 18, 2026, 5:59 a.m.