Triple

T15356096
Position Surface form Disambiguated ID Type / Status
Subject Lego.com E367170 entity
Predicate hasTermsOfUse P118242 FINISHED
Object yes 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: yes | Statement: [Lego.com, hasTermsOfUse, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTermsOfUse
Context triple: [Lego.com, hasTermsOfUse, yes]
  • A. hasAgreementSystem
    Indicates that there exists a specific grammatical agreement system (e.g., for features like number, gender, or person) associated with the given entity.
  • B. requiresAgreementWith
    Indicates that one entity’s action, decision, or validity is contingent upon obtaining consent or formal agreement from another specified entity.
  • C. termOfService
    Indicates that one entity defines or specifies the terms of service (rules, conditions, and usage policies) that apply to another entity.
  • D. surrenderTerms
    Indicates the conditions or stipulations under which one party formally yields or capitulates to another.
  • E. canEnterIntoAgreementsWith
    Indicates that one entity has the legal or formal capacity to make binding agreements or contracts with another entity.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e2c00648190ae2325e1ee58dcfd completed April 16, 2026, 1:41 a.m.
PD Predicate disambiguation batch_69deca991e5081908b0df3d1ee7d5338 completed April 14, 2026, 11:15 p.m.
PDg Predicate description generation batch_69decf2e413481909d9180a8d78d2c17 completed April 14, 2026, 11:35 p.m.
Created at: April 10, 2026, 3:18 a.m.