Triple

T8108718
Position Surface form Disambiguated ID Type / Status
Subject Burbn E189289 entity
Predicate acquisitionOutcome P38414 FINISHED
Object technology and concept absorbed into Instagram 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: technology and concept absorbed into Instagram | Statement: [Burbn, acquisitionOutcome, technology and concept absorbed into Instagram]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: acquisitionOutcome
Context triple: [Burbn, acquisitionOutcome, technology and concept absorbed into Instagram]
  • A. acquisitionResultedIn chosen
    Indicates that an acquisition event led to a particular outcome, state, or consequence for the involved entities.
  • B. acquisitionStatus
    Indicates the current state or outcome of an acquisition process between entities (e.g., pending, completed, failed, or canceled).
  • C. acquisition
    Indicates the act or relationship in which one entity obtains ownership or control of another entity, asset, or resource.
  • D. acquisitionType
    Indicates the specific kind or category of acquisition relationship that exists between entities (such as a company buying another company, assets, or a controlling stake).
  • E. commissionOutcome
    Indicates the result or consequence produced by a commission, such as whether it was successful, failed, or led to a particular decision or action.
  • 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_69ca82b9d5848190a24672775d5c5011 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42fa40e08190955fccec1a28eb34 completed March 31, 2026, 3:43 a.m.
PD Predicate disambiguation batch_69cb04a2ed1c8190b73562321ad688bc completed March 30, 2026, 11:17 p.m.
Created at: March 30, 2026, 5:32 p.m.