Triple
T1991296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rossiya Airlines |
E43256
|
entity |
| Predicate | IATACode |
P418
|
FINISHED |
| Object |
FV
FV is the IATA airline designator assigned to Rossiya Airlines, a Russian carrier based in Saint Petersburg.
|
E222045
|
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: FV | Statement: [Rossiya Airlines, IATACode, FV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FV Context triple: [Rossiya Airlines, IATACode, FV]
-
A.
HVF
HVF is a data-focused startup and innovation lab created by entrepreneur Max Levchin to explore and build companies around large-scale data problems.
-
B.
FVEY
FVEY is an abbreviation for the Five Eyes, an intelligence alliance comprising Australia, Canada, New Zealand, the United Kingdom, and the United States that cooperates on signals intelligence and security matters.
-
C.
FÜ
FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
-
D.
FRO
FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
-
E.
F
The F is a New York City Subway service that runs along the IND Sixth Avenue Line in Manhattan and Queens Boulevard Line in Queens, connecting Brooklyn, Manhattan, and Queens.
- 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: FV Triple: [Rossiya Airlines, IATACode, FV]
Generated description
FV is the IATA airline designator assigned to Rossiya Airlines, a Russian carrier based in Saint Petersburg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FV Target entity description: FV is the IATA airline designator assigned to Rossiya Airlines, a Russian carrier based in Saint Petersburg.
-
A.
HVF
HVF is a data-focused startup and innovation lab created by entrepreneur Max Levchin to explore and build companies around large-scale data problems.
-
B.
FVEY
FVEY is an abbreviation for the Five Eyes, an intelligence alliance comprising Australia, Canada, New Zealand, the United Kingdom, and the United States that cooperates on signals intelligence and security matters.
-
C.
FÜ
FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
-
D.
FRO
FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
-
E.
F
F is the New York Stock Exchange ticker symbol for Ford Motor Company, the American multinational automaker known for mass-producing automobiles and pioneering assembly line manufacturing.
- 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_69a88714cf2c819081644be450b8356e |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8451fe8819093531052f4533c36 |
completed | March 7, 2026, 5:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0338631c8190a8c7e5177ac473a8 |
completed | March 8, 2026, 11:16 p.m. |
| NEDg | Description generation | batch_69ae03d3c3048190bf9c476bea8c4c1e |
completed | March 8, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae0480bf9081909ee1ba5d5c805ab3 |
completed | March 8, 2026, 11:21 p.m. |
Created at: March 4, 2026, 7:37 p.m.