Triple

T28263929
Position Surface form Disambiguated ID Type / Status
Subject Google Buzz E712651 entity
Predicate couldImportFrom P158723 FINISHED
Object Twitter NE NERFINISHED

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: Twitter | Statement: [Google Buzz, couldImportFrom, Twitter]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: couldImportFrom
Context triple: [Google Buzz, couldImportFrom, Twitter]
  • A. allowsImports chosen
    Indicates that one entity permits another entity to bring in or receive items, data, or resources from an external source.
  • B. importedWith
    Indicates that one entity was brought into a system, context, or location together with or as part of another entity during an import process.
  • C. canBeAddedTo
    Indicates that one entity is capable of being combined or incorporated with another entity, typically without conflict or incompatibility.
  • D. imported
    Indicates that something was brought into a country, system, or context from an external source.
  • E. canBeObtainedFrom
    Indicates that one entity is derivable, producible, or acquirable from another entity as a source or origin.
  • 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_69efb5216c6881908020dce4aea65381 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f6441c2ed081909128d8fe21b14fa4 completed May 2, 2026, 6:36 p.m.
PD Predicate disambiguation batch_69f641e0fde08190bf06a1c5b388aa84 completed May 2, 2026, 6:26 p.m.
Created at: April 27, 2026, 11:13 p.m.