Triple
T3225813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avalon Airport |
E67618
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
AVV
AVV is the IATA airport code for Avalon Airport, a regional airport serving the Geelong and Melbourne areas in Victoria, Australia.
|
E337311
|
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: AVV | Statement: [Avalon Airport, IATAcode, AVV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AVV Context triple: [Avalon Airport, IATAcode, AVV]
-
A.
ÁVH
ÁVH was the secret police and state security organization of communist Hungary, notorious for its role in political repression and surveillance during the early Cold War era.
-
B.
AV
AV is the two-letter IATA airline designator assigned to Avianca, the flag carrier of Colombia and one of Latin America’s largest airlines.
-
C.
VABB
VABB is the ICAO airport code for Chhatrapati Shivaji Maharaj International Airport, the primary international airport serving Mumbai, India.
-
D.
VBB
VBB is the public transport authority and fare network that coordinates and integrates regional and urban transit services across Berlin and the surrounding Brandenburg region.
-
E.
AEV
AEV is the common abbreviation for Augsburger Panther, a professional ice hockey club based in Augsburg, Germany.
- 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: AVV Triple: [Avalon Airport, IATAcode, AVV]
Generated description
AVV is the IATA airport code for Avalon Airport, a regional airport serving the Geelong and Melbourne areas in Victoria, Australia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AVV Target entity description: AVV is the IATA airport code for Avalon Airport, a regional airport serving the Geelong and Melbourne areas in Victoria, Australia.
-
A.
ÁVH
ÁVH was the secret police and state security organization of communist Hungary, notorious for its role in political repression and surveillance during the early Cold War era.
-
B.
AV
AV is the two-letter IATA airline designator assigned to Avianca, the flag carrier of Colombia and one of Latin America’s largest airlines.
-
C.
VABB
VABB is the ICAO airport code for Chhatrapati Shivaji Maharaj International Airport, the primary international airport serving Mumbai, India.
-
D.
VBB
VBB is the public transport authority and fare network that coordinates and integrates regional and urban transit services across Berlin and the surrounding Brandenburg region.
-
E.
AEV
AEV is the common abbreviation for Augsburger Panther, a professional ice hockey club based in Augsburg, Germany.
- 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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaeb4cd3481908af8a2c9b6c0742d |
completed | March 8, 2026, 5:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2625eaa708190b23ca6e575d664a2 |
completed | March 12, 2026, 6:51 a.m. |
| NEDg | Description generation | batch_69b264e25bd48190978a289565854297 |
completed | March 12, 2026, 7:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b265cd3fcc8190bc56bbf2de229386 |
completed | March 12, 2026, 7:05 a.m. |
Created at: March 8, 2026, 3:08 p.m.