Triple

T15564000
Position Surface form Disambiguated ID Type / Status
Subject Pacific Biosciences of California, Inc. E371069 entity
Predicate product P490 FINISHED
Object Revio System E371072 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: Revio System | Statement: [Pacific Biosciences of California, Inc., product, Revio System]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Revio System
Context triple: [Pacific Biosciences of California, Inc., product, Revio System]
  • A. Revio System chosen
    The Revio System is a high-throughput long-read DNA sequencing platform developed by Pacific Biosciences for comprehensive genomic analysis.
  • B. Retevmo
    Retevmo is a targeted cancer therapy (selpercatinib) used to treat tumors driven by RET gene alterations, including certain lung and thyroid cancers.
  • C. Phystech System
    Phystech System is a rigorous, research-oriented educational model used at the Moscow Institute of Physics and Technology that tightly integrates students into leading scientific laboratories and real-world research from early in their studies.
  • D. Avisio
    Avisio is a river in northern Italy that flows through the Trentino region before joining the Adige.
  • E. ReadyNow technology
    ReadyNow technology is a performance-optimization solution from Azul Systems that reduces Java application warm-up time and improves startup consistency by leveraging pre-compiled and profile-guided optimizations.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ddc66448190948280fb0c8d390c completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff456a3b08819092f9f517bbef5577 completed May 9, 2026, 2:32 p.m.
Created at: April 10, 2026, 4:10 a.m.