Triple
T13959319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delta variant |
E335749
|
entity |
| Predicate | notableSublineage |
P104422
|
FINISHED |
| Object |
AY.4.2
AY.4.2 is a sublineage of the SARS-CoV-2 Delta variant associated with increased transmissibility and monitored as a variant of interest during the COVID-19 pandemic.
|
E1071424
|
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: AY.4.2 | Statement: [Delta variant, notableSublineage, AY.4.2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AY.4.2 Context triple: [Delta variant, notableSublineage, AY.4.2]
-
A.
AAY
AAY is the ICAO airline designator used to identify Allegiant Air in aviation operations and communications.
-
B.
AYT
AYT is the IATA airport code for Antalya Airport, a major international gateway serving the resort city of Antalya on Turkey’s Mediterranean coast.
-
C.
AYP
AYP, or Adequate Yearly Progress, was the key accountability measure used to evaluate school and district performance under the No Child Left Behind Act in the United States.
-
D.
4Y
4Y is the IATA airline designator assigned to Airbus Transport International, the cargo airline operating Airbus Beluga transport aircraft.
-
E.
AYTO
AYTO is a reality dating competition series where singles try to identify their predetermined perfect matches to win a shared cash prize.
- 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: AY.4.2 Triple: [Delta variant, notableSublineage, AY.4.2]
Generated description
AY.4.2 is a sublineage of the SARS-CoV-2 Delta variant associated with increased transmissibility and monitored as a variant of interest during the COVID-19 pandemic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AY.4.2 Target entity description: AY.4.2 is a sublineage of the SARS-CoV-2 Delta variant associated with increased transmissibility and monitored as a variant of interest during the COVID-19 pandemic.
-
A.
AAY
AAY is the ICAO airline designator used to identify Allegiant Air in aviation operations and communications.
-
B.
AYT
AYT is the IATA airport code for Antalya Airport, a major international gateway serving the resort city of Antalya on Turkey’s Mediterranean coast.
-
C.
AYP
AYP, or Adequate Yearly Progress, was the key accountability measure used to evaluate school and district performance under the No Child Left Behind Act in the United States.
-
D.
4Y
4Y is the IATA airline designator assigned to Airbus Transport International, the cargo airline operating Airbus Beluga transport aircraft.
-
E.
AYTO
AYTO is a reality dating competition series where singles try to identify their predetermined perfect matches to win a shared cash prize.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e7b2f908190aa32f22298964746 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1d490048190b28cb44dd4ec46c4 |
completed | May 6, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_69fba5646cb48190acd932f6fbd6fe62 |
completed | May 6, 2026, 8:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fba6525d0c8190a1ab15881030c11c |
completed | May 6, 2026, 8:36 p.m. |
Created at: April 9, 2026, 10:17 p.m.