Triple

T28221715
Position Surface form Disambiguated ID Type / Status
Subject IKEA Restaurant E711473 entity
Predicate pricePoint P18022 FINISHED
Object budget-friendly 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: budget-friendly | Statement: [IKEA Restaurant, pricePoint, budget-friendly]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: pricePoint
Context triple: [IKEA Restaurant, pricePoint, budget-friendly]
  • A. priceReference
    Indicates a relationship where one price is used as a benchmark or basis for determining, comparing, or deriving another price.
  • B. priceType
    Indicates the classification or category of a price associated with an entity (e.g., list price, sale price, wholesale price).
  • C. priceCategory chosen
    Indicates the classification of an item or service based on its price level or cost range.
  • D. priceDeterminedBy
    Indicates that the price of one entity is set, influenced, or calculated based on another entity or factor.
  • E. pricingCharacteristic
    Indicates how the price of something is determined, structured, or behaves (e.g., fixed, variable, discounted, tiered).
  • 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_69efb51dfb048190ada79b745c33b363 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f64351ed64819097b557edd9fa37e1 completed May 2, 2026, 6:32 p.m.
PD Predicate disambiguation batch_69f641e0fde08190bf06a1c5b388aa84 completed May 2, 2026, 6:26 p.m.
Created at: April 27, 2026, 10:47 p.m.