Triple
T1999840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | easyGroup |
E43442
|
entity |
| Predicate | ownsBrand |
P1500
|
FINISHED |
| Object |
easyProperty
easyProperty is a UK-based online estate agency brand within the easyGroup family, offering low-cost, digital property sales and lettings services.
|
E43442
|
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: easyProperty | Statement: [easyGroup, ownsBrand, easyProperty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: easyProperty Context triple: [easyGroup, ownsBrand, easyProperty]
-
A.
easyGroup
easyGroup is a British private investment company best known for owning the "easy" family of brands, including the low-cost airline easyJet.
-
B.
EZY
EZY is the ICAO airline designator used for flights operated by the British low-cost carrier easyJet.
-
C.
EPP
EPP is a major center-right, pro-European political party at the European level, bringing together Christian democratic and conservative parties from across the European Union.
-
D.
Ether
Ether is the native cryptocurrency of the Ethereum blockchain, used to pay for transactions, execute smart contracts, and secure the network.
-
E.
ENBA
ENBA is the commonly used abbreviation for the Escola Nacional de Belas Artes, a prominent national fine arts school.
- 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: easyProperty Triple: [easyGroup, ownsBrand, easyProperty]
Generated description
easyProperty is a UK-based online estate agency brand within the easyGroup family, offering low-cost, digital property sales and lettings services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: easyProperty Target entity description: easyProperty is a UK-based online estate agency brand within the easyGroup family, offering low-cost, digital property sales and lettings services.
-
A.
easyGroup
chosen
easyGroup is a British private investment company best known for owning the "easy" family of brands, including the low-cost airline easyJet.
-
B.
EZY
EZY is the ICAO airline designator used for flights operated by the British low-cost carrier easyJet.
-
C.
EPP
EPP is a major center-right, pro-European political party at the European level, bringing together Christian democratic and conservative parties from across the European Union.
-
D.
Ether
Ether is the native cryptocurrency of the Ethereum blockchain, used to pay for transactions, execute smart contracts, and secure the network.
-
E.
ENBA
ENBA is the commonly used abbreviation for the Escola Nacional de Belas Artes, a prominent national fine arts school.
- F. None of above.
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_69a88715dbbc8190b2299e29e955d997 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb87f78f0819098e787a5f3e062fd |
completed | March 7, 2026, 5:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae034122ec819096a72685b34c84b9 |
completed | March 8, 2026, 11:16 p.m. |
| NEDg | Description generation | batch_69ae03b5e294819093b20fdc95f653db |
completed | March 8, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae0475dd448190939620c5400eea16 |
completed | March 8, 2026, 11:21 p.m. |
Created at: March 4, 2026, 7:37 p.m.