Triple
T28623156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Select Citywalk Mall |
E724440
|
entity |
| Predicate | hasInternationalBrands |
P26115
|
FINISHED |
| Object | yes |
—
|
LITERAL FINISHED |
How this triple was built (2 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: yes | Statement: [Select Citywalk Mall, hasInternationalBrands, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInternationalBrands Context triple: [Select Citywalk Mall, hasInternationalBrands, yes]
-
A.
hasInternationalSubcategory
Indicates that an entity includes or is associated with a subcategory specifically designated as international in scope or applicability.
-
B.
hasRetailBrands
Indicates that an entity owns, manages, or is associated with one or more retail brands.
-
C.
hasGlobalBrand
chosen
Indicates that an entity possesses a brand that is recognized and operates across multiple countries or worldwide.
-
D.
hasNumberOfBrands
Indicates the relationship where an entity is associated with a specific count of brands it possesses or encompasses.
-
E.
hasInternationalVersion
Indicates that an entity has a corresponding version or counterpart adapted for use in multiple countries or international contexts.
- F. None of above.
Provenance (3 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_69f01d822ac08190932de59ec2268ed2 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fdd07a34c08190982b8c61c2775cf6 |
completed | May 8, 2026, noon |
| PD | Predicate disambiguation | batch_69fdbd25c7908190b72fca8de7ce503f |
completed | May 8, 2026, 10:38 a.m. |
Created at: April 28, 2026, 4:34 a.m.