Triple
T16757092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SKB |
E407236
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | SKB |
E407236
|
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: SKB | Statement: [SKB, abbreviation, SKB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SKB Context triple: [SKB, abbreviation, SKB]
-
A.
SKB
chosen
SKB is the German Bundeswehr’s Joint Support Service, responsible for providing cross-branch logistical, administrative, and operational support to the armed forces.
-
B.
SKB
SKB is the former pharmaceutical company SmithKline Beckman, a predecessor of the global healthcare giant GlaxoSmithKline (now GSK).
-
C.
SKBQ
SKBQ is the ICAO airport code for Ernesto Cortissoz International Airport, the main air gateway serving Barranquilla, Colombia.
-
D.
SKW
SKW is Poland’s Military Counterintelligence Service, responsible for protecting the armed forces and state defense structures from espionage, terrorism, and other security threats.
-
E.
SKW
SKW is the ICAO airline designator used to identify SkyWest Airlines in aviation operations and communications.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3abe94cc0819099b05cd205d368c5 |
completed | April 18, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00aaf588bc8190adcc512eaa8d91e8 |
completed | May 10, 2026, 3:57 p.m. |
Created at: April 10, 2026, 5:21 a.m.