Triple

T36696008
Position Surface form Disambiguated ID Type / Status
Subject MBB E906092 entity
Predicate informalGroupingOf P35818 FINISHED
Object leading global management consulting firms 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: leading global management consulting firms | Statement: [MBB, informalGroupingOf, leading global management consulting firms]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: informalGroupingOf
Context triple: [MBB, informalGroupingOf, leading global management consulting firms]
  • A. formedGroup
    Indicates that multiple entities have come together to create or establish a group or collective unit.
  • B. areSometimesGroupedWith chosen
    Indicates that two or more entities are occasionally but not consistently classified, treated, or considered together as part of the same group.
  • C. allyGroup
    Indicates that two or more entities belong to the same allied group or faction, cooperating or aligned in purpose or interests.
  • D. formedAsGroupOf
    Indicates that something came into existence by being created or organized as a collection of multiple members acting together as a group.
  • E. groupedInto
    Indicates that multiple entities are collected or organized together as members of a common group or category.
  • 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_69f76e70d2448190bdd3ce781ba971c5 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c7ea60c481908ea2ee276acea5dc completed May 3, 2026, 10:10 p.m.
PD Predicate disambiguation batch_69f7c4796ebc819084a0dc08505e5f14 completed May 3, 2026, 9:56 p.m.
Created at: May 3, 2026, 4:12 p.m.