Triple
T10675374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asheville Regional Airport |
E251602
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
AVL
AVL is the three-letter IATA airport code for Asheville Regional Airport serving the Asheville, North Carolina area.
|
E879816
|
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: AVL | Statement: [Asheville Regional Airport, IATAcode, AVL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AVL Context triple: [Asheville Regional Airport, IATAcode, AVL]
-
A.
ALV
ALV is the stock ticker symbol for Allianz SE, a major global financial services and insurance company based in Germany.
-
B.
BAV
BAV is the ICAO airline designator assigned to the Vietnamese carrier Bamboo Airways.
-
C.
AVV
AVV is the IATA airport code for Avalon Airport, a regional airport serving the Geelong and Melbourne areas in Victoria, Australia.
-
D.
ASV
ASV is a 1901 English Bible translation known for its formal, literal rendering of the original Hebrew and Greek texts.
-
E.
AVA
AVA is the ICAO airline designator used to identify Avianca, the flag carrier of Colombia, in international aviation 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: AVL Triple: [Asheville Regional Airport, IATAcode, AVL]
Generated description
AVL is the three-letter IATA airport code for Asheville Regional Airport serving the Asheville, North Carolina area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AVL Target entity description: AVL is the three-letter IATA airport code for Asheville Regional Airport serving the Asheville, North Carolina area.
-
A.
ALV
ALV is the stock ticker symbol for Allianz SE, a major global financial services and insurance company based in Germany.
-
B.
BAV
BAV is the ICAO airline designator assigned to the Vietnamese carrier Bamboo Airways.
-
C.
AVV
AVV is the IATA airport code for Avalon Airport, a regional airport serving the Geelong and Melbourne areas in Victoria, Australia.
-
D.
ASV
ASV is a 1901 English Bible translation known for its formal, literal rendering of the original Hebrew and Greek texts.
-
E.
AVA
AVA is the ICAO airline designator used to identify Avianca, the flag carrier of Colombia, in international aviation 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fb935ca88190b1312d3d53902af5 |
completed | April 9, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d98876222c8190be638bdfa3ce4ceb |
completed | April 10, 2026, 11:32 p.m. |
| NEDg | Description generation | batch_69d98ae8403c81908a229aa06bd0388a |
completed | April 10, 2026, 11:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d98ced96588190990c4c0c2e16db56 |
completed | April 10, 2026, 11:51 p.m. |
Created at: April 8, 2026, 9:09 p.m.