Triple
T2804345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aegean Airlines |
E54016
|
entity |
| Predicate | IATACode |
P418
|
FINISHED |
| Object |
A3
A3 is the IATA airline designator for Aegean Airlines, the largest Greek airline and a member of the Star Alliance.
|
E299583
|
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: A3 | Statement: [Aegean Airlines, IATACode, A3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A3 Context triple: [Aegean Airlines, IATACode, A3]
-
A.
A3
A3 is a major German autobahn that runs across several federal states, serving as an important east–west transport corridor.
-
B.
A2
A2 is a common nickname for Ann Arbor, Michigan, often used by locals and in regional culture.
-
C.
A13
A13 is a major road in England that serves as a key route linking London with areas in south Essex, including Basildon.
-
D.
A1
A1 is the primary north–south route along Australia’s east coast, forming part of the country’s National Highway network and linking major coastal cities and regions.
-
E.
A1
A1 is the designation of Switzerland’s primary east–west motorway, connecting major cities such as Geneva, Bern, Zurich, and St. Gallen.
- 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: A3 Triple: [Aegean Airlines, IATACode, A3]
Generated description
A3 is the IATA airline designator for Aegean Airlines, the largest Greek airline and a member of the Star Alliance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: A3 Target entity description: A3 is the IATA airline designator for Aegean Airlines, the largest Greek airline and a member of the Star Alliance.
-
A.
A3
A3 is a major German autobahn that runs across several federal states, serving as an important east–west transport corridor.
-
B.
A2
A2 is a common nickname for Ann Arbor, Michigan, often used by locals and in regional culture.
-
C.
A13
A13 is a major road in England that serves as a key route linking London with areas in south Essex, including Basildon.
-
D.
A1
A1 is the designation of Switzerland’s primary east–west motorway, connecting major cities such as Geneva, Bern, Zurich, and St. Gallen.
-
E.
A1
A1 is the primary north–south route along Australia’s east coast, forming part of the country’s National Highway network and linking major coastal cities and regions.
- 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_69ab49dcee188190b5c6eca9ae9e3469 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde1409148190a06a401185a26b64 |
completed | March 7, 2026, 8:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc674217c81908177b088cc824e7b |
completed | March 10, 2026, 7:21 a.m. |
| NEDg | Description generation | batch_69afc863133c8190b129a55f8d28966f |
completed | March 10, 2026, 7:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc8d43e608190b33159a464dc2e8c |
completed | March 10, 2026, 7:31 a.m. |
Created at: March 6, 2026, 9:59 p.m.