Triple

T12673683
Position Surface form Disambiguated ID Type / Status
Subject No7 E302748 entity
Predicate hasProductLine P3585 FINISHED
Object No7 Restore & Renew E302748 NE 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: No7 Restore & Renew | Statement: [No7, hasProductLine, No7 Restore & Renew]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: No7 Restore & Renew
Context triple: [No7, hasProductLine, No7 Restore & Renew]
  • A. No7 chosen
    No7 is a popular British skincare and cosmetics brand known for its anti-aging products and science-led formulations, sold primarily through Boots and Walgreens stores.
  • B. N7
    N7 is the IATA airline designator assigned to Nordic Regional Airlines, a Finnish regional carrier.
  • C. N7
    N7 is a major national route in South Africa that runs roughly north–south, linking Cape Town with the Namibian border and serving as a key regional transport corridor.
  • D. Recover to Live
    Recover to Live is a self-help book by Christopher Kennedy Lawford that offers guidance and personal insights on overcoming addiction and achieving long-term recovery.
  • E. The Original 7ven
    The Original 7ven is the funk and R&B band formerly known as The Time, best known for its close association with Prince and its influential Minneapolis sound.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961af991c8190b6079cb57e593b8f completed April 10, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671a163188190b6077c77f9a81681 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:20 p.m.