Triple

T7135469
Position Surface form Disambiguated ID Type / Status
Subject Condé Nast E166295 entity
Predicate brand P1500 FINISHED
Object Ars Technica E66252 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: Ars Technica | Statement: [Condé Nast, brand, Ars Technica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ars Technica
Context triple: [Condé Nast, brand, Ars Technica]
  • A. Technium
    Technium is an exhibition floor at Amsterdam's NEMO Science Museum that showcases interactive science and technology displays for visitors.
  • B. Slash Dot Dash
    "Slash Dot Dash" is a 2004 electro-funk single by British DJ and producer Fatboy Slim, known for its frenetic beats and playful, vocoder-driven vocals.
  • C. Engadget chosen
    Engadget is a technology news and reviews website that covers consumer electronics, gadgets, and digital culture.
  • D. Boing Boing
    Boing Boing is a long-running, influential blog and online magazine that covers technology, culture, science fiction, and digital rights with a quirky, countercultural tone.
  • E. EDDN
    EDDN is the ICAO airport code for Nuremberg Airport, an international airport serving the city of Nuremberg in Germany.
  • 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_69c68884a9388190af42f90d1c1a7151 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e690f954819084b81a555f4cdb5e completed March 27, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a348a748819082f87039ea79f251 completed March 28, 2026, 9:45 a.m.
Created at: March 27, 2026, 2:45 p.m.