Triple
T10475398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawson |
E247033
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Lawsons
Lawsons is a variant name commonly associated with the Lawson brand, a major Japanese convenience store chain known for its widespread retail presence.
|
E865697
|
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: Lawsons | Statement: [Lawson, hasVariant, Lawsons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lawsons Context triple: [Lawson, hasVariant, Lawsons]
-
A.
Nicholsons
Nicholsons is a variant form of the surname Nicholson, typically used as a family name.
-
B.
Hammerson
Hammerson is a major British property development and investment company specializing in retail destinations such as shopping centres and retail parks.
-
C.
Spencer Shops
Spencer Shops is a historic former Southern Railway steam locomotive repair facility in North Carolina that now serves as part of the North Carolina Transportation Museum.
-
D.
Makinsons
Makinsons is a small rural community located in the Conception Bay North area of Newfoundland and Labrador, Canada.
-
E.
Benson & Forsyth
Benson & Forsyth is a British architectural practice known for its modernist and innovative public building designs, including major museum projects.
- 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: Lawsons Triple: [Lawson, hasVariant, Lawsons]
Generated description
Lawsons is a variant name commonly associated with the Lawson brand, a major Japanese convenience store chain known for its widespread retail presence.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lawsons Target entity description: Lawsons is a variant name commonly associated with the Lawson brand, a major Japanese convenience store chain known for its widespread retail presence.
-
A.
Nicholsons
Nicholsons is a variant form of the surname Nicholson, typically used as a family name.
-
B.
Hammerson
Hammerson is a major British property development and investment company specializing in retail destinations such as shopping centres and retail parks.
-
C.
Spencer Shops
Spencer Shops is a historic former Southern Railway steam locomotive repair facility in North Carolina that now serves as part of the North Carolina Transportation Museum.
-
D.
Makinsons
Makinsons is a small rural community located in the Conception Bay North area of Newfoundland and Labrador, Canada.
-
E.
Benson & Forsyth
Benson & Forsyth is a British architectural practice known for its modernist and innovative public building designs, including major museum projects.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5094f6b408190a5a26b1a82e4a02b |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8a01d8b888190a9137b104f0e0c0c |
completed | April 10, 2026, 7 a.m. |
| NEDg | Description generation | batch_69d8a43ba5448190ae666168ea731e4f |
completed | April 10, 2026, 7:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d8a62a0e58819093a6f809585f5010 |
completed | April 10, 2026, 7:26 a.m. |
Created at: April 6, 2026, 12:21 p.m.