Triple
T344415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | easyJet |
E6907
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
EZY
EZY is the ICAO airline designator used for flights operated by the British low-cost carrier easyJet.
|
E43441
|
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: EZY | Statement: [easyJet, ICAOcode, EZY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EZY Context triple: [easyJet, ICAOcode, EZY]
-
A.
E
The E is a New York City Subway line that runs between Queens and Manhattan, providing a key rapid transit connection used by AirTrain JFK passengers traveling to and from the city.
-
B.
Eddy
Eddy is the married surname of Mary Baker Eddy, the American religious leader who founded Christian Science.
-
C.
FVEY
FVEY is an abbreviation for the Five Eyes, an intelligence alliance comprising Australia, Canada, New Zealand, the United Kingdom, and the United States that cooperates on signals intelligence and security matters.
-
D.
Gassel
Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
-
E.
Gliz
Gliz is one of the official mascots of the 2006 Winter Olympics in Turin, Italy, depicted as a stylized anthropomorphic ice cube symbolizing winter sports and modernity.
- 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: EZY Triple: [easyJet, ICAOcode, EZY]
Generated description
EZY is the ICAO airline designator used for flights operated by the British low-cost carrier easyJet.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EZY Target entity description: EZY is the ICAO airline designator used for flights operated by the British low-cost carrier easyJet.
-
A.
E
The E is a New York City Subway line that runs between Queens and Manhattan, providing a key rapid transit connection used by AirTrain JFK passengers traveling to and from the city.
-
B.
Eddy
Eddy is the married surname of Mary Baker Eddy, the American religious leader who founded Christian Science.
-
C.
FVEY
FVEY is an abbreviation for the Five Eyes, an intelligence alliance comprising Australia, Canada, New Zealand, the United Kingdom, and the United States that cooperates on signals intelligence and security matters.
-
D.
Gassel
Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
-
E.
Gliz
Gliz is one of the official mascots of the 2006 Winter Olympics in Turin, Italy, depicted as a stylized anthropomorphic ice cube symbolizing winter sports and modernity.
- 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_69a2e7951ba08190960e90823b5078f3 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eb01261c81909280128b5ce75eff |
completed | Feb. 28, 2026, 1:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3d4ea324c8190acd07727ca0ac193 |
completed | March 1, 2026, 5:55 a.m. |
| NEDg | Description generation | batch_69a3d593afbc8190b7148201f890ac77 |
completed | March 1, 2026, 5:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3d659a1308190bad45dc2af33b3f3 |
completed | March 1, 2026, 6:02 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.