Triple

T21560989
Position Surface form Disambiguated ID Type / Status
Subject Ask E532024 entity
Predicate hasCompetitor P1375 FINISHED
Object Google Search 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: Google Search | Statement: [Ask, hasCompetitor, Google Search]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Google Search
Context triple: [Ask, hasCompetitor, Google Search]
  • A. Google Search chosen
    Google Search is a widely used web search engine developed by Google that allows users to find information, websites, images, and other content across the internet.
  • B. Google Search Partners
    Google Search Partners is a network of non-Google websites and properties that display Google search ads, extending advertisers’ reach beyond the main Google Search results.
  • C. OpenSearch
    OpenSearch is an open-source, community-driven search and analytics engine and suite derived from Elasticsearch, used for full-text search, log analytics, and observability at scale.
  • D. Hoogle
    Hoogle is an online Haskell API search engine that lets users find functions and libraries by name or type signature.
  • E. Internet search
    Internet search is the process of using specialized software and algorithms to locate relevant information across the World Wide Web based on user queries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c460db088190828c64206a450273 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eed2e3e2348190b5c3b66cdc871e6e completed April 27, 2026, 3:07 a.m.
Created at: April 16, 2026, 6:29 p.m.