Triple
T788503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air France |
E16857
|
entity |
| Predicate | ICAOCode |
P419
|
FINISHED |
| Object |
AFR
AFR is the ICAO airline designator used to identify Air France flights in international aviation operations.
|
E94319
|
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: AFR | Statement: [Air France, ICAOCode, AFR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AFR Context triple: [Air France, ICAOCode, AFR]
-
A.
AFB
AFB is the commonly used abbreviation for the Belgian Armed Forces, the military organization responsible for Belgium’s national defense and international military commitments.
-
B.
AF
AF is the two-letter ISO 3166-1 alpha-2 country code assigned to Afghanistan for international standardization and referencing.
-
C.
AF
AF is the two-letter IATA airline designator assigned to Air France, the flag carrier of France.
-
D.
ATF
ATF is a United States federal law enforcement agency responsible for regulating and investigating crimes involving alcohol, tobacco, firearms, explosives, and arson.
-
E.
FA
FA is a Chilean left-wing political coalition known for uniting various progressive parties and movements to challenge the country’s traditional political blocs.
- 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: AFR Triple: [Air France, ICAOCode, AFR]
Generated description
AFR is the ICAO airline designator used to identify Air France flights in international aviation operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AFR Target entity description: AFR is the ICAO airline designator used to identify Air France flights in international aviation operations.
-
A.
AFB
AFB is the commonly used abbreviation for the Belgian Armed Forces, the military organization responsible for Belgium’s national defense and international military commitments.
-
B.
AF
AF is the two-letter ISO 3166-1 alpha-2 country code assigned to Afghanistan for international standardization and referencing.
-
C.
AF
AF is the two-letter IATA airline designator assigned to Air France, the flag carrier of France.
-
D.
ATF
ATF is a United States federal law enforcement agency responsible for regulating and investigating crimes involving alcohol, tobacco, firearms, explosives, and arson.
-
E.
FA
FA is a Chilean left-wing political coalition known for uniting various progressive parties and movements to challenge the country’s traditional political blocs.
- 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_69a4936cb7448190914f5fe4b8d81607 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a782fe988190966b958673fe12bf |
completed | March 1, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a67efd612481909580fbef3605dcbc |
completed | March 3, 2026, 6:26 a.m. |
| NEDg | Description generation | batch_69a67f5a246481908bde953b245a6b5e |
completed | March 3, 2026, 6:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a6808fe5748190b95959ee23ee6241 |
completed | March 3, 2026, 6:32 a.m. |
Created at: March 1, 2026, 7:38 p.m.