Triple

T7829696
Position Surface form Disambiguated ID Type / Status
Subject Phones 4u E181334 entity
Predicate closureImpact P79247 FINISHED
Object job losses in UK retail sector 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: job losses in UK retail sector | Statement: [Phones 4u, closureImpact, job losses in UK retail sector]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: closureImpact
Context triple: [Phones 4u, closureImpact, job losses in UK retail sector]
  • A. closure
    Indicates that an entity is closed or not accessible/available for use, entry, or interaction.
  • B. closureReason
    Indicates the reason or cause for which an entity, process, or case has been closed or terminated.
  • C. closureBy
    Indicates that one entity causes, performs, or is responsible for the closing or termination of another entity, event, or process.
  • D. closureProcess
    Indicates the procedure or set of actions carried out to formally conclude, finalize, or terminate an ongoing activity, case, or process.
  • E. closureEvent
    Indicates an event or action in which something is formally brought to an end, completed, or shut down.
  • 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_69ca8282ccec819083c48efb72d21cf9 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb04ac013c81909533fa348776f50c completed March 30, 2026, 11:18 p.m.
PD Predicate disambiguation batch_69cae91ae008819098e56bbe51143b31 completed March 30, 2026, 9:20 p.m.
PDg Predicate description generation batch_69caf7855a3c81908b9318f7186fc0c0 completed March 30, 2026, 10:21 p.m.
Created at: March 30, 2026, 4:44 p.m.