Triple

T10502893
Position Surface form Disambiguated ID Type / Status
Subject Ensure E247713 entity
Predicate hasVariant P455 FINISHED
Object Ensure Plus Advance E867358 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: Ensure Plus Advance | Statement: [Ensure, hasVariant, Ensure Plus Advance]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ensure Plus Advance
Context triple: [Ensure, hasVariant, Ensure Plus Advance]
  • A. Ensure Plus chosen
    Ensure Plus is a high-calorie, high-protein nutritional supplement drink designed to help people gain or maintain weight and support overall nutrition.
  • B. Pluss
    Pluss is a music producer known for crafting beats and collaborating with various artists in contemporary hip-hop and related genres.
  • C. United Premium Plus
    United Premium Plus is United Airlines’ premium economy cabin class that offers larger seats, enhanced amenities, and upgraded service compared with standard economy options.
  • D. OK Plus
    OK Plus is the frequent flyer loyalty program of Czech Airlines, offering members mileage accrual and redemption benefits along with elite status tiers and partner rewards.
  • E. Plus
    Plus is a leading Polish telecommunications operator providing mobile and internet services nationwide.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5099c6a848190bf1d5361e9e61108 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90ddbbb3c8190873e8e3c27039b16 completed April 10, 2026, 2:48 p.m.
Created at: April 6, 2026, 12:25 p.m.