Triple
T2171465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Forrestal (CV-59) |
E48434
|
entity |
| Predicate | airWingType |
P37364
|
FINISHED |
| Object | Carrier Air Wing |
—
|
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: Carrier Air Wing | Statement: [USS Forrestal (CV-59), airWingType, Carrier Air Wing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airWingType Context triple: [USS Forrestal (CV-59), airWingType, Carrier Air Wing]
-
A.
aircraftType
Indicates the specific model or category of aircraft associated with an entity or event.
-
B.
typeOfWing
Indicates the specific kind or category of wing that an entity possesses or is associated with.
-
C.
wingConfiguration
Indicates how the wings of an aircraft or creature are arranged or structured relative to its body and to each other.
-
D.
airframeDerivedFrom
Indicates that one airframe design is derived or developed from another pre-existing airframe design.
-
E.
hasWingConfiguration
Indicates how an entity’s wings are arranged, structured, or configured relative to its body or to each other.
- 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_69a88aa3faa48190995b233af6525815 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc1559ff481908efe3f214b2570dc |
completed | March 7, 2026, 6:10 a.m. |
| PD | Predicate disambiguation | batch_69abbd9efc1c81909a65044a1ffc9038 |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abc153b22481908115e5f582c93f12 |
completed | March 7, 2026, 6:10 a.m. |
Created at: March 4, 2026, 7:45 p.m.