Triple
T46277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manchester Airport |
E906
|
entity |
| Predicate | isBaseFor |
P2421
|
FINISHED |
| Object |
Jet2.com
Jet2.com is a British low-cost leisure airline that operates scheduled and charter flights across Europe from multiple UK bases.
|
E8498
|
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: Jet2.com | Statement: [Manchester Airport, isBaseFor, Jet2.com]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jet2.com Context triple: [Manchester Airport, isBaseFor, Jet2.com]
-
A.
easyJet
easyJet is a major British low-cost airline operating extensive domestic and European routes.
-
B.
Ryanair
Ryanair is a major Irish low-cost airline known for its extensive network of short-haul flights across Europe.
-
C.
JetBlue Airways
JetBlue Airways is a major American low-cost airline known for its customer-friendly service, free in-flight entertainment, and extensive route network across the United States, Caribbean, and Latin America.
-
D.
Expedia Group
Expedia Group is a leading American online travel and technology company that operates numerous global travel fare aggregators and travel metasearch engines.
-
E.
Southwest Airlines
Southwest Airlines is a major U.S. low-cost carrier known for its extensive domestic route network, no-frills service model, and distinctive open-seating boarding process.
- 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: Jet2.com Triple: [Manchester Airport, isBaseFor, Jet2.com]
Generated description
Jet2.com is a British low-cost leisure airline that operates scheduled and charter flights across Europe from multiple UK bases.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jet2.com Target entity description: Jet2.com is a British low-cost leisure airline that operates scheduled and charter flights across Europe from multiple UK bases.
-
A.
easyJet
easyJet is a major British low-cost airline operating extensive domestic and European routes.
-
B.
Ryanair
Ryanair is a major Irish low-cost airline known for its extensive network of short-haul flights across Europe.
-
C.
JetBlue Airways
JetBlue Airways is a major American low-cost airline known for its customer-friendly service, free in-flight entertainment, and extensive route network across the United States, Caribbean, and Latin America.
-
D.
Expedia Group
Expedia Group is a leading American online travel and technology company that operates numerous global travel fare aggregators and travel metasearch engines.
-
E.
Southwest Airlines
Southwest Airlines is a major U.S. low-cost carrier known for its extensive domestic route network, no-frills service model, and distinctive open-seating boarding process.
- 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_69a2480baefc81909951b14058479aa2 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NER | Named-entity recognition | batch_69a24ec333fc8190b66776b947e0bdbd |
completed | Feb. 28, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2623cc3648190b2d86352406125e9 |
completed | Feb. 28, 2026, 3:34 a.m. |
| NEDg | Description generation | batch_69a262ef9e44819094790f68d3862c5a |
completed | Feb. 28, 2026, 3:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2634b24d08190b4869d235516c2ab |
completed | Feb. 28, 2026, 3:38 a.m. |
Created at: Feb. 28, 2026, 1:47 a.m.