Triple

T4596206
Position Surface form Disambiguated ID Type / Status
Subject Microsoft Research Cambridge E100209 entity
Predicate notableContributionArea P11898 FINISHED
Object machine learning for information retrieval 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: machine learning for information retrieval | Statement: [Microsoft Research Cambridge, notableContributionArea, machine learning for information retrieval]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableContributionArea
Context triple: [Microsoft Research Cambridge, notableContributionArea, machine learning for information retrieval]
  • A. notableContributionField chosen
    Indicates the field or domain in which an entity has made a significant or noteworthy contribution.
  • B. notableContribution
    Indicates that an entity has made a significant, recognized contribution to another entity, field, work, or endeavor.
  • C. notableWorkArea
    Indicates the field or domain in which an entity’s significant work or contributions are primarily focused.
  • D. fieldOfSignificance
    Indicates that something holds particular importance, relevance, or impact within a specified domain, context, or area of interest.
  • E. notableCategory
    Indicates that an entity is recognized as notable or significant within a particular category or classification.
  • 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_69bd43cbc014819098b45f435908f88a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd594055dc8190a50f1b4be2be1ba0 completed March 20, 2026, 2:27 p.m.
PD Predicate disambiguation batch_69bd522c811c81909aae4feadae33174 completed March 20, 2026, 1:57 p.m.
Created at: March 20, 2026, 1:11 p.m.