Triple
T13542982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mall of Africa |
E323436
|
entity |
| Predicate | hasAnchorTenant |
P11754
|
FINISHED |
| Object |
Cotton On
Cotton On is a global Australian retail chain known for its affordable, casual fashion and lifestyle products.
|
E1046404
|
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: Cotton On | Statement: [Mall of Africa, hasAnchorTenant, Cotton On]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cotton On Context triple: [Mall of Africa, hasAnchorTenant, Cotton On]
-
A.
Esprit
Esprit is an international fashion brand known for its casual, contemporary clothing and lifestyle products.
-
B.
Uniqlo
Uniqlo is a global Japanese clothing retailer known for its affordable, minimalist casual wear and functional basics.
-
C.
Abercrombie
Abercrombie is a Scottish-origin surname borne by various notable individuals, including politicians, artists, and public figures.
-
D.
AllSaints
AllSaints is a British fashion retailer known for its edgy, minimalist clothing and signature leather jackets.
-
E.
Old Navy
Old Navy is an American clothing and accessories retail chain known for offering affordable, family-oriented casual apparel.
- 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: Cotton On Triple: [Mall of Africa, hasAnchorTenant, Cotton On]
Generated description
Cotton On is a global Australian retail chain known for its affordable, casual fashion and lifestyle products.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cotton On Target entity description: Cotton On is a global Australian retail chain known for its affordable, casual fashion and lifestyle products.
-
A.
Esprit
Esprit is an international fashion brand known for its casual, contemporary clothing and lifestyle products.
-
B.
Uniqlo
Uniqlo is a global Japanese clothing retailer known for its affordable, minimalist casual wear and functional basics.
-
C.
Abercrombie
Abercrombie is a Scottish-origin surname borne by various notable individuals, including politicians, artists, and public figures.
-
D.
AllSaints
AllSaints is a British fashion retailer known for its edgy, minimalist clothing and signature leather jackets.
-
E.
Old Navy
Old Navy is an American clothing and accessories retail chain known for offering affordable, family-oriented casual apparel.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafda36248190acabde65a88c5471 |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75da094288190aff108b006c3da1f |
completed | May 3, 2026, 2:37 p.m. |
| NEDg | Description generation | batch_69f75f2c645481909c3e5ecdd239965d |
completed | May 3, 2026, 2:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f75f8e9b608190830ab942098a798c |
completed | May 3, 2026, 2:45 p.m. |
Created at: April 9, 2026, 9:45 p.m.