Triple

T18643235
Position Surface form Disambiguated ID Type / Status
Subject Oakland, California E455739 entity
Predicate associatedWithCompany P629 FINISHED
Object Ask.com 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: Ask.com | Statement: [Oakland, California, associatedWithCompany, Ask.com]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ask.com
Context triple: [Oakland, California, associatedWithCompany, Ask.com]
  • A. Qwant
    Qwant is a French privacy-focused search engine that emphasizes user anonymity and does not track or profile its users.
  • B. Ask Jeeves (search engine brand name) chosen
    Ask Jeeves was an early web search engine brand best known for its question‑and‑answer style interface featuring a virtual butler character.
  • C. Yahoo
    Yahoo is a pioneering web services company best known for its web portal, search engine, email service, and online media offerings.
  • D. Hoogle
    Hoogle is an online Haskell API search engine that lets users find functions and libraries by name or type signature.
  • E. DuckDuckGo
    DuckDuckGo is a privacy-focused internet search engine that emphasizes not tracking users or personalizing search results based on their data.
  • 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_69d8d38ea1e88190997e9b231190ba6f completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5500b6d7c8190b807b772980d913c completed April 19, 2026, 9:58 p.m.
Created at: April 10, 2026, 11:47 a.m.