Triple
T7355541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Square One Shopping Centre |
E169614
|
entity |
| Predicate | anchorTenant |
P11754
|
FINISHED |
| Object |
Simons
Simons is a Canadian fashion and home goods department store chain known for its stylish, contemporary merchandise and distinctive store designs.
|
E658700
|
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: Simons | Statement: [Square One Shopping Centre, anchorTenant, Simons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simons Context triple: [Square One Shopping Centre, anchorTenant, Simons]
-
A.
Simons
Simons is a Dutch surname most notably associated with Menno Simons, the 16th-century religious leader whose teachings gave rise to the Mennonite movement.
-
B.
Simmons
Simmons is a common English-language surname borne by numerous notable individuals across fields such as entertainment, sports, academia, and business.
-
C.
Simonis
Simonis is a major Brussels Metro interchange station serving multiple lines in the northwest of Brussels, Belgium.
-
D.
Simm
Simm is an English surname most notably associated with actor John Simm, known for his roles in British television and film.
-
E.
Simonds
Simonds is a surname most notably associated with Canadian Lieutenant-General Guy Simonds, a prominent military commander during the Second World War.
- 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: Simons Triple: [Square One Shopping Centre, anchorTenant, Simons]
Generated description
Simons is a Canadian fashion and home goods department store chain known for its stylish, contemporary merchandise and distinctive store designs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Simons Target entity description: Simons is a Canadian fashion and home goods department store chain known for its stylish, contemporary merchandise and distinctive store designs.
-
A.
Simons
Simons is a Dutch surname most notably associated with Menno Simons, the 16th-century religious leader whose teachings gave rise to the Mennonite movement.
-
B.
Simmons
Simmons is a common English-language surname borne by numerous notable individuals across fields such as entertainment, sports, academia, and business.
-
C.
Simonis
Simonis is a major Brussels Metro interchange station serving multiple lines in the northwest of Brussels, Belgium.
-
D.
Simm
Simm is an English surname most notably associated with actor John Simm, known for his roles in British television and film.
-
E.
Simonds
Simonds is a surname most notably associated with Canadian Lieutenant-General Guy Simonds, a prominent military commander during the Second World War.
- 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_69c68a59f2288190877ca15c19b1e822 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f139505c8190a7158cf59a6e089e |
completed | March 27, 2026, 9:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7faa25960819084ecb6dbf9369ba5 |
completed | March 28, 2026, 3:58 p.m. |
| NEDg | Description generation | batch_69c7fc2c90488190bd3aa5bf72606723 |
completed | March 28, 2026, 4:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7fcb5f7f0819081e70f8809bb34ae |
completed | March 28, 2026, 4:07 p.m. |
Created at: March 27, 2026, 3:05 p.m.