Triple

T6177267
Position Surface form Disambiguated ID Type / Status
Subject TK Maxx E137850 entity
Predicate productSourcingStrategy P69263 FINISHED
Object opportunistic buying 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: opportunistic buying | Statement: [TK Maxx, productSourcingStrategy, opportunistic buying]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: productSourcingStrategy
Context triple: [TK Maxx, productSourcingStrategy, opportunistic buying]
  • A. purchaseMethod
    Indicates the way or channel through which a purchase is made (e.g., online, in-store, by phone, or via a specific payment or ordering method).
  • B. brandSource
    Indicates that one entity is the originating or providing brand associated with another entity (such as a product, service, or content).
  • C. procurementPartner
    Indicates that one entity serves as a supplier or provider responsible for acquiring goods or services on behalf of another entity.
  • D. supplyRole
    Indicates that an entity provides or fulfills a specific role within a supply or provisioning relationship to another entity.
  • E. supplyType
    Indicates the kind or category of supply associated with or provided in a given relationship or context.
  • 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_69c008a80f748190ba3d07ffc81acb29 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05dc87bc48190834042d9c41d5b86 completed March 22, 2026, 9:23 p.m.
PD Predicate disambiguation batch_69c055f7f12881908e21c04e9b752ba4 completed March 22, 2026, 8:50 p.m.
PDg Predicate description generation batch_69c056df95ac8190bc5efe050d3af864 completed March 22, 2026, 8:53 p.m.
Created at: March 22, 2026, 4:18 p.m.