Triple
T21232495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shoppers Stop Rajouri Garden |
E523255
|
entity |
| Predicate | retailCategory |
P17849
|
FINISHED |
| Object | department store retail |
—
|
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: department store retail | Statement: [Shoppers Stop Rajouri Garden, retailCategory, department store retail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: retailCategory Context triple: [Shoppers Stop Rajouri Garden, retailCategory, department store retail]
-
A.
hasRetailCategory
chosen
Indicates that an entity is associated with a specific retail category or type of retail business.
-
B.
retailConcept
Indicates that one entity represents a retail-related concept, model, or framework that characterizes or defines the nature of another entity’s retail activity or context.
-
C.
apparentCategory
Indicates the category or type that something seems to belong to based on its observable characteristics, regardless of its true or underlying classification.
-
D.
catalogCategory
Indicates that an item or entity is assigned to, or belongs within, a specific catalog category.
-
E.
commercialCategory
Indicates the type of commercial classification or business category under which an entity or transaction is grouped.
- 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_69e0b512ad94819087942b2ed925185f |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734b1524c8190a77eaf2fabd601c3 |
completed | April 21, 2026, 8:26 a.m. |
| PD | Predicate disambiguation | batch_69e5f60e1a888190ba75e2e900270a4e |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:45 p.m.