Triple
T17816077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 353d Special Operations Wing |
E444843
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | 353 SOW |
—
|
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: 353 SOW | Statement: [353d Special Operations Wing, nickname, 353 SOW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 353 SOW Context triple: [353d Special Operations Wing, nickname, 353 SOW]
-
A.
353 SOW
chosen
353 SOW is a United States Air Force special operations wing that conducts specialized and often clandestine air missions, primarily in the Indo-Pacific region.
-
B.
352 SOW
352 SOW is a United States Air Force special operations wing based in Europe that conducts specialized airpower missions including infiltration, exfiltration, and resupply of special operations forces.
-
C.
492 SOW
492 SOW is a U.S. Air Force special operations wing responsible for training, organizing, and equipping forces for global special operations missions.
-
D.
SOW
SOW is the National Rail station code assigned to Sowerby Bridge railway station in West Yorkshire, England.
-
E.
27 SOW
27 SOW is a U.S. Air Force special operations wing responsible for conducting specialized and often covert air missions in support of global special operations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4887f7d048190b6d813b9f0fab3e7 |
completed | April 19, 2026, 7:47 a.m. |
Created at: April 10, 2026, 10:14 a.m.