Triple
T2334679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smartavia |
E44282
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
AUL
AUL is the ICAO airline designator assigned to the Russian carrier Smartavia.
|
E256956
|
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: AUL | Statement: [Smartavia, ICAOcode, AUL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AUL Context triple: [Smartavia, ICAOcode, AUL]
-
A.
ALO
ALO is the three-letter IATA airport code for Waterloo Regional Airport in Waterloo, Iowa, United States.
-
B.
ALO
ALO is the Arab Labor Organization, a specialized Arab League body that promotes labor standards, employment policies, and workers’ rights across Arab countries.
-
C.
AAL
AAL is the ICAO airline designator used in aviation to identify American Airlines in flight operations and air traffic control.
-
D.
AUF
AUF is the youth wing of the Norwegian Labour Party, known in Norwegian as Arbeidernes Ungdomsfylking.
-
E.
AUF
AUF (Agence universitaire de la Francophonie) is an international association of French-speaking higher education and research institutions that promotes academic cooperation and the Francophone academic community worldwide.
- 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: AUL Triple: [Smartavia, ICAOcode, AUL]
Generated description
AUL is the ICAO airline designator assigned to the Russian carrier Smartavia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AUL Target entity description: AUL is the ICAO airline designator assigned to the Russian carrier Smartavia.
-
A.
ALO
ALO is the three-letter IATA airport code for Waterloo Regional Airport in Waterloo, Iowa, United States.
-
B.
ALO
ALO is the Arab Labor Organization, a specialized Arab League body that promotes labor standards, employment policies, and workers’ rights across Arab countries.
-
C.
AAL
AAL is the ICAO airline designator used in aviation to identify American Airlines in flight operations and air traffic control.
-
D.
AUF
AUF is the youth wing of the Norwegian Labour Party, known in Norwegian as Arbeidernes Ungdomsfylking.
-
E.
AUF
AUF (Agence universitaire de la Francophonie) is an international association of French-speaking higher education and research institutions that promotes academic cooperation and the Francophone academic community worldwide.
- 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_69a889132b488190bbb43ad4780ddd92 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc687362c8190a55b3d6cb1580d56 |
completed | March 7, 2026, 6:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae897bf59c8190bc0ac8a4f3841832 |
completed | March 9, 2026, 8:49 a.m. |
| NEDg | Description generation | batch_69ae8aceea58819098a98f7ad5818ac6 |
completed | March 9, 2026, 8:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae8b6c553481908b2b7b1f880b814d |
completed | March 9, 2026, 8:57 a.m. |
Created at: March 4, 2026, 7:51 p.m.