Triple
T7357492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doncaster Sheffield Airport |
E169661
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
DSA
DSA is the three-letter IATA airport code for Doncaster Sheffield Airport in South Yorkshire, England.
|
E658818
|
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: DSA | Statement: [Doncaster Sheffield Airport, IATAcode, DSA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DSA Context triple: [Doncaster Sheffield Airport, IATAcode, DSA]
-
A.
DSA
DSA is India’s tri-service Defence Space Agency responsible for coordinating and enhancing the country’s military space capabilities.
-
B.
DSA
DSA (Digital Signature Algorithm) is a widely used public-key cryptographic standard designed for creating and verifying digital signatures to ensure data integrity and authentication.
-
C.
DAA
DAA is the IATA airport code for Davison Army Airfield, a U.S. Army aviation facility located at Fort Belvoir, Virginia.
-
D.
DS
DS is the standardized Diploma Supplement used across the European Higher Education Area to provide transparent, comparable information about higher education qualifications.
-
E.
DS
DS was the communist-era Bulgarian State Security service, responsible for internal repression, intelligence, and secret police activities in the People’s Republic of Bulgaria.
- 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: DSA Triple: [Doncaster Sheffield Airport, IATAcode, DSA]
Generated description
DSA is the three-letter IATA airport code for Doncaster Sheffield Airport in South Yorkshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DSA Target entity description: DSA is the three-letter IATA airport code for Doncaster Sheffield Airport in South Yorkshire, England.
-
A.
DSA
DSA (Digital Signature Algorithm) is a widely used public-key cryptographic standard designed for creating and verifying digital signatures to ensure data integrity and authentication.
-
B.
DSA
DSA is India’s tri-service Defence Space Agency responsible for coordinating and enhancing the country’s military space capabilities.
-
C.
DAA
DAA is the IATA airport code for Davison Army Airfield, a U.S. Army aviation facility located at Fort Belvoir, Virginia.
-
D.
DS
DS is the standardized Diploma Supplement used across the European Higher Education Area to provide transparent, comparable information about higher education qualifications.
-
E.
DS
DS was the communist-era Bulgarian State Security service, responsible for internal repression, intelligence, and secret police activities in the People’s Republic of Bulgaria.
- 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_69c68a59f2288190877ca15c19b1e822 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f13bf2e881909bc95b93a5664a4f |
completed | March 27, 2026, 9:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7faaa8ec8819093bf6b4562472288 |
completed | March 28, 2026, 3:58 p.m. |
| NEDg | Description generation | batch_69c7fc5d7e5081908c9f7389f4dea1e0 |
completed | March 28, 2026, 4:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7fcb5f7f0819081e70f8809bb34ae |
completed | March 28, 2026, 4:07 p.m. |
Created at: March 27, 2026, 3:06 p.m.