Triple
T28623157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Select Citywalk Mall |
E724440
|
entity |
| Predicate | hasIndianBrands |
P195442
|
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, hasIndianBrands, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIndianBrands Context triple: [Select Citywalk Mall, hasIndianBrands, yes]
-
A.
hasRetailBrands
Indicates that an entity owns, manages, or is associated with one or more retail brands.
-
B.
hasNumberOfBrands
Indicates the relationship where an entity is associated with a specific count of brands it possesses or encompasses.
-
C.
isBrand
Indicates that one entity functions as the commercial brand or label associated with another entity.
-
D.
hasBrandConcept
Indicates that an entity is associated with or embodies a particular brand concept or branding idea.
-
E.
hasEconomicBrand
Indicates that one entity possesses, is associated with, or operates under a particular economic brand or commercial identity.
- F. None of above. chosen
Provenance (4 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_69fdd2be648c8190b60b3d1caeb44364 |
completed | May 8, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69fdd14a5c708190a6f95ec61f4fc28f |
completed | May 8, 2026, 12:04 p.m. |
| PDg | Predicate description generation | batch_69fdd2bda90881909aa229194d014ba7 |
completed | May 8, 2026, 12:10 p.m. |
Created at: April 28, 2026, 4:34 a.m.