Triple
T14322292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afilias |
E355120
|
entity |
| Predicate | operates |
P24
|
FINISHED |
| Object |
.aero
.aero is a sponsored top-level domain dedicated to the aviation industry, used by airlines, airports, and related organizations.
|
E1093716
|
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: .aero | Statement: [Afilias, operates, .aero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: .aero Context triple: [Afilias, operates, .aero]
-
A.
Aero
Aero is a high-performance, sport-oriented trim level used by Saab for its 9-3 and other models, typically featuring more powerful engines and upgraded equipment.
-
B.
IrAero
IrAero is a Russian regional airline that operates passenger and cargo flights across Siberia, the Russian Far East, and neighboring countries.
-
C.
AerClub
AerClub is the loyalty and frequent flyer program of Aer Lingus, offering members points, tier benefits, and rewards for their travel with the airline and its partners.
-
D.
AeroLogic
AeroLogic is a German cargo airline operating long-haul freight services, primarily on behalf of DHL and Lufthansa Cargo.
-
E.
AER
AER is a leading peer-reviewed academic journal in economics published by the American Economic Association.
- 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: .aero Triple: [Afilias, operates, .aero]
Generated description
.aero is a sponsored top-level domain dedicated to the aviation industry, used by airlines, airports, and related organizations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: .aero Target entity description: .aero is a sponsored top-level domain dedicated to the aviation industry, used by airlines, airports, and related organizations.
-
A.
Aero
Aero is a high-performance, sport-oriented trim level used by Saab for its 9-3 and other models, typically featuring more powerful engines and upgraded equipment.
-
B.
IrAero
IrAero is a Russian regional airline that operates passenger and cargo flights across Siberia, the Russian Far East, and neighboring countries.
-
C.
AerClub
AerClub is the loyalty and frequent flyer program of Aer Lingus, offering members points, tier benefits, and rewards for their travel with the airline and its partners.
-
D.
AeroLogic
AeroLogic is a German cargo airline operating long-haul freight services, primarily on behalf of DHL and Lufthansa Cargo.
-
E.
AER
AER is a leading peer-reviewed academic journal in economics published by the American Economic Association.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de883d1de88190a1e2bf2f1b692197 |
completed | April 14, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd468e263c81909d7261bcfd949579 |
completed | May 8, 2026, 2:12 a.m. |
| NEDg | Description generation | batch_69fd4811e2808190b559d8348079ae8f |
completed | May 8, 2026, 2:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd48d827488190b4a494d4da64ba51 |
completed | May 8, 2026, 2:22 a.m. |
Created at: April 10, 2026, 1:13 a.m.