Triple

T7857523
Position Surface form Disambiguated ID Type / Status
Subject Microsoft Office RT E182414 entity
Predicate featureSetComparedTo P28765 FINISHED
Object reduced features compared to full desktop Microsoft Office 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: reduced features compared to full desktop Microsoft Office | Statement: [Microsoft Office RT, featureSetComparedTo, reduced features compared to full desktop Microsoft Office]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: featureSetComparedTo
Context triple: [Microsoft Office RT, featureSetComparedTo, reduced features compared to full desktop Microsoft Office]
  • A. featureSet
    Indicates that one entity is a collection or configuration of features associated with or applied to another entity.
  • B. featureLevelComparedTo chosen
    Indicates a comparative relationship between entities based on their feature level, specifying how one entity’s feature level ranks relative to another’s.
  • C. comparisonAspect
    Indicates that two or more entities are being compared specifically with respect to a particular shared attribute or dimension.
  • D. comparisonSet
    Indicates that one entity is part of a group of entities that are being compared or evaluated against each other.
  • E. featureParityWith
    Indicates that two entities offer the same or equivalent set of features or capabilities.
  • 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_69ca82887fd48190975896bf38c4596b completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb1a76f8648190976b488d0d8658ef completed March 31, 2026, 12:51 a.m.
PD Predicate disambiguation batch_69cae925ca388190ae4a01fa76e957e8 completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 4:52 p.m.