Triple

T6177279
Position Surface form Disambiguated ID Type / Status
Subject TK Maxx E137850 entity
Predicate reasonForDifferentName P2136 FINISHED
Object to avoid confusion with existing UK retailer T J Hughes 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: to avoid confusion with existing UK retailer T J Hughes | Statement: [TK Maxx, reasonForDifferentName, to avoid confusion with existing UK retailer T J Hughes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reasonForDifferentName
Context triple: [TK Maxx, reasonForDifferentName, to avoid confusion with existing UK retailer T J Hughes]
  • A. reasonForName
    Indicates the explanation or cause behind why an entity has a particular name.
  • B. nameChangeReason chosen
    Indicates the reason or justification for a change in an entity’s name.
  • C. reasonForNickname
    Indicates the explanation or cause behind why a particular nickname was given to an entity.
  • D. usesNameDueTo
    Indicates that one entity adopts or applies a particular name for another entity specifically because of some motivating reason, circumstance, or dependency.
  • E. nameContrastsWith
    Indicates that one name is deliberately chosen or used to highlight a difference or opposition in meaning, style, or identity relative to another name.
  • 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_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.
Created at: March 22, 2026, 4:18 p.m.