Triple
T4946220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Booker Group |
E111056
|
entity |
| Predicate | acquiredBy |
P347
|
FINISHED |
| Object |
Tesco
Tesco is a major British multinational grocery and general merchandise retailer and one of the largest supermarket chains in the world.
|
E480672
|
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: Tesco | Statement: [Booker Group, acquiredBy, Tesco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tesco Context triple: [Booker Group, acquiredBy, Tesco]
-
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.
J Sainsbury plc
J Sainsbury plc is a major British supermarket and retail chain, one of the largest and oldest in the United Kingdom.
-
C.
Carrefour
Carrefour is a major French multinational retail corporation and one of the world’s largest hypermarket chains.
-
D.
Carrefour
Carrefour is a major suburban city in Haiti, located just southwest of the capital Port-au-Prince and known as part of the country's largest metropolitan area.
-
E.
Marks & Spencer
Marks & Spencer is a major British multinational retailer known for its clothing, home goods, and food products.
- 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: Tesco Triple: [Booker Group, acquiredBy, Tesco]
Generated description
Tesco is a major British multinational grocery and general merchandise retailer and one of the largest supermarket chains in the world.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tesco Target entity description: Tesco is a major British multinational grocery and general merchandise retailer and one of the largest supermarket chains in the world.
-
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.
J Sainsbury plc
J Sainsbury plc is a major British supermarket and retail chain, one of the largest and oldest in the United Kingdom.
-
C.
Carrefour
Carrefour is a major French multinational retail corporation and one of the world’s largest hypermarket chains.
-
D.
Carrefour
Carrefour is a major suburban city in Haiti, located just southwest of the capital Port-au-Prince and known as part of the country's largest metropolitan area.
-
E.
Marks & Spencer
Marks & Spencer is a major British multinational retailer known for its clothing, home goods, and food products.
- 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_69bd441721cc819085c7e33fe0876818 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd70aa890c81908e685ec5e88cae1f |
completed | March 20, 2026, 4:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be77c873dc81909129644cf929ed5e |
completed | March 21, 2026, 10:49 a.m. |
| NEDg | Description generation | batch_69be78db96e081909eec1b8e287e6ef9 |
completed | March 21, 2026, 10:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be7940416881908167cd24b11d8be0 |
completed | March 21, 2026, 10:56 a.m. |
Created at: March 20, 2026, 1:31 p.m.