Triple
T629185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Endeavor Air |
E15887
|
entity |
| Predicate | ICAOCode |
P419
|
FINISHED |
| Object |
EDV
EDV is the ICAO airline designator used to identify Endeavor Air in international aviation operations.
|
E78788
|
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: EDV | Statement: [Endeavor Air, ICAOCode, EDV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EDV Context triple: [Endeavor Air, ICAOCode, EDV]
-
A.
ED
ED is the federal agency responsible for establishing policy, administering, and coordinating most education-related programs in the United States.
-
B.
EDDT
EDDT is the ICAO airport code for Berlin Tegel Airport, the former main international airport of Berlin, Germany.
-
C.
Ed
Ed is a common masculine given name, typically used as a short form of names such as Edward, Edwin, or Edmund.
-
D.
EGDY
EGDY is the ICAO airport code for RNAS Yeovilton, a major Royal Navy air station in Somerset, England.
-
E.
EDF
EDF (Électricité de France) is France’s main state-owned electric utility company and one of the world’s largest producers and suppliers of electricity, particularly known for its extensive nuclear power operations.
- 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: EDV Triple: [Endeavor Air, ICAOCode, EDV]
Generated description
EDV is the ICAO airline designator used to identify Endeavor Air in international aviation operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EDV Target entity description: EDV is the ICAO airline designator used to identify Endeavor Air in international aviation operations.
-
A.
ED
ED is the federal agency responsible for establishing policy, administering, and coordinating most education-related programs in the United States.
-
B.
EDDT
EDDT is the ICAO airport code for Berlin Tegel Airport, the former main international airport of Berlin, Germany.
-
C.
Ed
Ed is a common masculine given name, typically used as a short form of names such as Edward, Edwin, or Edmund.
-
D.
EGDY
EGDY is the ICAO airport code for RNAS Yeovilton, a major Royal Navy air station in Somerset, England.
-
E.
EDF
EDF (Électricité de France) is France’s main state-owned electric utility company and one of the world’s largest producers and suppliers of electricity, particularly known for its extensive nuclear power operations.
- 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_69a4935c131c8190a5378c6bf101e8cc |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e5b5a308190a62165f9275e2f5f |
completed | March 1, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a56938be6481909a8eba01f5d856c1 |
completed | March 2, 2026, 10:40 a.m. |
| NEDg | Description generation | batch_69a569ec60a08190ad2f84dc20635621 |
completed | March 2, 2026, 10:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a56a6d09cc8190959d8d2e7621041f |
completed | March 2, 2026, 10:46 a.m. |
Created at: March 1, 2026, 7:35 p.m.