Triple
T37140223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Ronald Reagan (CVN-76) |
E920084
|
entity |
| Predicate | airWingComplement |
P187186
|
FINISHED |
| Object | about 2,000 air wing personnel |
—
|
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: about 2,000 air wing personnel | Statement: [USS Ronald Reagan (CVN-76), airWingComplement, about 2,000 air wing personnel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airWingComplement Context triple: [USS Ronald Reagan (CVN-76), airWingComplement, about 2,000 air wing personnel]
-
A.
airWingType
Indicates the classification or category of an air wing associated with an entity.
-
B.
airWingCarried
Indicates that an air wing is embarked on and transported by a specific carrier platform.
-
C.
wingOf
Indicates that something is a wing that forms a physical or functional part of another entity.
-
D.
airWingPersonnel
Indicates that the subject is a member of, or assigned as personnel to, an air wing unit.
-
E.
hasArmedWing
Indicates that an entity maintains, controls, or is associated with an organized armed or military wing.
- 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_69f76e9e9d008190a250b0387c992c74 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb344c60f8819090f2e21e1e61d621 |
completed | May 6, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69fb2f642db08190b562725502c74ea6 |
completed | May 6, 2026, 12:09 p.m. |
| PDg | Predicate description generation | batch_69fb344ba5408190a6fe8face293d88b |
completed | May 6, 2026, 12:30 p.m. |
Created at: May 3, 2026, 4:15 p.m.