Triple
T7821055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carrier Air Wing Commander |
E181128
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | CAG |
E126570
|
NE 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: CAG | Statement: [Carrier Air Wing Commander, alsoKnownAs, CAG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CAG Context triple: [Carrier Air Wing Commander, alsoKnownAs, CAG]
-
A.
CAG
CAG is an elite, highly secretive U.S. Army special operations unit specializing in counterterrorism, hostage rescue, and high-risk missions worldwide.
-
B.
CAG
chosen
CAG is India’s supreme constitutional authority responsible for auditing government revenues and expenditures to ensure accountability and transparency in public financial management.
-
C.
KAGC
KAGC is the ICAO airport code for Allegheny County Airport, a public airport serving the Pittsburgh, Pennsylvania area.
-
D.
GACA
GACA is Saudi Arabia’s national aviation regulator responsible for overseeing civil aviation safety, security, and air transport operations in the country.
-
E.
GCA
GCA is a landmark U.S. federal law enacted in 1968 that regulates the firearms industry and gun sales, including licensing, prohibited persons, and interstate commerce in weapons.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca828153f48190bdb27ac46f8e0745 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cafa083fe88190a77efb7cfee4bd6f |
completed | March 30, 2026, 10:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb149bae408190a931ecbc803b0850 |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 4:41 p.m.