Triple

T8108731
Position Surface form Disambiguated ID Type / Status
Subject Google Reader E189290 entity
Predicate supportsFormat P203 FINISHED
Object Atom E107966 NE 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: Atom | Statement: [Google Reader, supportsFormat, Atom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atom
Context triple: [Google Reader, supportsFormat, Atom]
  • A. Atom
    Atom is a family of low-power x86 microprocessors developed by Intel, primarily designed for use in netbooks, embedded systems, and energy-efficient devices.
  • B. Atom chosen
    Atom is a free and open-source text and source code editor developed by GitHub, known for its hackability, rich plugin ecosystem, and cross-platform support.
  • C. Atom
    "Atom" is a BBC documentary series presented by physicist Jim Al-Khalili that explores the history and science of atomic theory and quantum physics.
  • D. Atomic
    "Atomic" is a 1979 new wave song by the American band Blondie, known for its fusion of punk, disco, and sci‑fi themes and for becoming one of their signature hits.
  • E. Atomico
    Atomico is a London-based venture capital firm known for investing in innovative technology startups, founded by Skype co-creator Niklas Zennström.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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.
NED1 Entity disambiguation (via context triple) batch_69cc9421794081909170ea11b09ae357 completed April 1, 2026, 3:42 a.m.
Created at: March 30, 2026, 5:32 p.m.