Triple
T26698237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MEU |
E673082
|
entity |
| Predicate | typicalAviationElementSize |
P198432
|
FINISHED |
| Object | reinforced composite helicopter squadron |
—
|
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: reinforced composite helicopter squadron | Statement: [MEU, typicalAviationElementSize, reinforced composite helicopter squadron]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAviationElementSize Context triple: [MEU, typicalAviationElementSize, reinforced composite helicopter squadron]
-
A.
aircraftSizeClass
Indicates the size category or class an aircraft belongs to based on its physical dimensions or capacity.
-
B.
aircraftLength
Indicates the physical longitudinal measurement of an aircraft from its nose to its tail.
-
C.
isAviationElementFor
Indicates that something serves as an aviation-related component, feature, or element specifically associated with or used for a particular object, system, or context.
-
D.
airlineSizeDescriptor
Indicates how large or small an airline is, typically in terms of its scale, capacity, or operational scope.
-
E.
flightDeckWidth
Indicates the measurement of how wide a vehicle’s flight deck is across its lateral (side-to-side) dimension.
- F. None of above. chosen
Provenance (4 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_69eecda2b49c8190a6c481cfc4c07954 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69fee335cb08819097e3a0e09d5ebf49 |
completed | May 9, 2026, 7:33 a.m. |
| PD | Predicate disambiguation | batch_69fee2c74fd88190acfc045ab07b7f6b |
completed | May 9, 2026, 7:31 a.m. |
| PDg | Predicate description generation | batch_69fee33485188190a43526c9d39e3b6a |
completed | May 9, 2026, 7:33 a.m. |
Created at: April 27, 2026, 3:30 a.m.