Triple
T9233375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argos Limited |
E221875
|
entity |
| Predicate | hasMainCompetitor |
P6615
|
FINISHED |
| Object |
Currys
Currys is a major British retailer specializing in consumer electronics and household appliances.
|
E786158
|
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: Currys | Statement: [Argos Limited, hasMainCompetitor, Currys]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Currys Context triple: [Argos Limited, hasMainCompetitor, Currys]
-
A.
Sainsbury
Sainsbury is a prominent British family name most closely associated with the founders and owners of the J Sainsbury supermarket chain and notable figures in business and public life.
-
B.
King Soopers
King Soopers is a regional supermarket chain in the United States known for offering a wide range of groceries, household goods, and pharmacy services.
-
C.
Tesco
Tesco is a major British multinational grocery and general merchandise retailer and one of the largest supermarket chains in the world.
-
D.
Marks & Spencer
Marks & Spencer is a major British multinational retailer known for its clothing, home goods, and food products.
-
E.
B&M
B&M is a renowned Swiss roller coaster design and manufacturing company known for pioneering innovative and smooth steel coaster models used in major theme parks worldwide.
- 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: Currys Triple: [Argos Limited, hasMainCompetitor, Currys]
Generated description
Currys is a major British retailer specializing in consumer electronics and household appliances.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Currys Target entity description: Currys is a major British retailer specializing in consumer electronics and household appliances.
-
A.
Sainsbury
Sainsbury is a prominent British family name most closely associated with the founders and owners of the J Sainsbury supermarket chain and notable figures in business and public life.
-
B.
King Soopers
King Soopers is a regional supermarket chain in the United States known for offering a wide range of groceries, household goods, and pharmacy services.
-
C.
Tesco
Tesco is a major British multinational grocery and general merchandise retailer and one of the largest supermarket chains in the world.
-
D.
Marks & Spencer
Marks & Spencer is a major British multinational retailer known for its clothing, home goods, and food products.
-
E.
B&M
B&M is a renowned Swiss roller coaster design and manufacturing company known for pioneering innovative and smooth steel coaster models used in major theme parks worldwide.
- 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_69ca83ed628c8190bc02d641e57f097f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccee1baa3c8190870d1e850ccab1e0 |
completed | April 1, 2026, 10:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d077bb5b10819083fd2de3ed7d69a4 |
completed | April 4, 2026, 2:30 a.m. |
| NEDg | Description generation | batch_69d079227348819083cc2c1bb36831f0 |
completed | April 4, 2026, 2:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d07980eb1481909450ec1e6537587f |
completed | April 4, 2026, 2:37 a.m. |
Created at: March 30, 2026, 7:29 p.m.