Triple
T2045801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Severstal Aircompany |
E45447
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
SSF
SSF is the ICAO airline designator assigned to Severstal Aircompany, a Russian regional carrier.
|
E230206
|
NE FINISHED |
How this triple was built (4 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.
SF
SF is the standard two-letter postal abbreviation used to represent the city of San Francisco, California.
-
B.
.ss
.ss is the country code top-level domain (ccTLD) assigned to South Sudan for use in its internet addresses.
-
C.
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.
-
D.
SS
SS is the IATA airline designator used to identify Corsair International flights in global aviation systems.
-
E.
SS
The SS is a high-performance "Super Sport" trim level of the Chevrolet Camaro, featuring more powerful engines and sport-tuned components compared to standard models.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SSF Triple: [Severstal Aircompany, ICAOcode, SSF]
Generated description
SSF is the ICAO airline designator assigned to Severstal Aircompany, a Russian regional carrier.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SSF Target entity description: SSF is the ICAO airline designator assigned to Severstal Aircompany, a Russian regional carrier.
-
A.
SF
SF is the standard two-letter postal abbreviation used to represent the city of San Francisco, California.
-
B.
.ss
.ss is the country code top-level domain (ccTLD) assigned to South Sudan for use in its internet addresses.
-
C.
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.
-
D.
SS
SS is the IATA airline designator used to identify Corsair International flights in global aviation systems.
-
E.
SS
The SS is a high-performance "Super Sport" trim level of the Chevrolet Camaro, featuring more powerful engines and sport-tuned components compared to standard models.
- F. None of above. chosen
Provenance (5 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_69a8891948208190ab7898da21824c77 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9728f688190939d7c4df524f9b4 |
completed | March 7, 2026, 5:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae200125f081909ab40b6a04adaa25 |
completed | March 9, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69ae242933288190ad1f2c9f4ce1e968 |
completed | March 9, 2026, 1:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae248a2b8481908fa4b0c000971d11 |
completed | March 9, 2026, 1:38 a.m. |
Created at: March 4, 2026, 7:39 p.m.