Triple
T9543142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Severstal Aircompany |
E230207
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object | SSF |
E230206
|
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: SSF | Statement: [Severstal Aircompany, ICAOcode, SSF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SSF Context triple: [Severstal Aircompany, ICAOcode, SSF]
-
A.
SSF
chosen
SSF is the ICAO airline designator assigned to Severstal Aircompany, a Russian regional carrier.
-
B.
SSF
SSF is the abbreviation for the People's Liberation Army Strategic Support Force, a branch of China's military responsible for space, cyber, electronic, and information warfare operations.
-
C.
SF
SF is the standard two-letter postal abbreviation used to represent the city of San Francisco, California.
-
D.
.ss
.ss is the country code top-level domain (ccTLD) assigned to South Sudan for use in its internet addresses.
-
E.
SS
The SS was a paramilitary organization of Nazi Germany that became one of the principal instruments of terror, repression, and mass murder, including the systematic genocide of Jews and other targeted groups during World War II.
- 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_69ca847c70b8819088a0a0bad64a50d6 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98e9be048190bf1f01884ff7c362 |
completed | April 1, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1527c0914819087ffa9d201afdd35 |
completed | April 4, 2026, 6:03 p.m. |
Created at: March 30, 2026, 8:01 p.m.