Triple
T16347467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marine Light Attack Helicopter Squadron |
E396969
|
entity |
| Predicate | typicalAircraftMix |
P97197
|
FINISHED |
| Object | AH-1Z attack helicopters |
—
|
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: AH-1Z attack helicopters | Statement: [Marine Light Attack Helicopter Squadron, typicalAircraftMix, AH-1Z attack helicopters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAircraftMix Context triple: [Marine Light Attack Helicopter Squadron, typicalAircraftMix, AH-1Z attack helicopters]
-
A.
typicalAircraftTypeCategory
Indicates the general class or category of aircraft type that is most commonly associated with or used in a given context.
-
B.
typicalAircraftStrength
Indicates the usual or characteristic level of military strength or capability associated with an aircraft.
-
C.
commonAircraftFamily
Indicates that two aircraft belong to the same aircraft family or series, sharing a common design lineage.
-
D.
aircraftTypesUsedOn
chosen
Indicates the types or models of aircraft that are used on or assigned to a particular route, service, operation, or context.
-
E.
aircraftType
Indicates the specific model or category of aircraft associated with an entity or event.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2da1038d88190b8292cfe71bc4f2a |
completed | April 18, 2026, 1:10 a.m. |
| PD | Predicate disambiguation | batch_69e226eba9b48190af6e80d3d1c2aed3 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:07 a.m.