Triple

T12309554
Position Surface form Disambiguated ID Type / Status
Subject Nokia E7 E293440 entity
Predicate chipset P20530 FINISHED
Object Broadcom BCM2727 E950058 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: Broadcom BCM2727 | Statement: [Nokia E7, chipset, Broadcom BCM2727]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Broadcom BCM2727
Context triple: [Nokia E7, chipset, Broadcom BCM2727]
  • A. Broadcom BCM2763 chosen
    The Broadcom BCM2763 is a mobile multimedia processor and graphics chip designed to accelerate high-definition video and advanced graphics in smartphones and portable devices.
  • B. Raspberry Pi
    Raspberry Pi is a low-cost, credit card–sized single-board computer widely used for education, DIY electronics projects, and lightweight computing tasks.
  • C. BeagleBone Black
    BeagleBone Black is a low-cost, community-supported single-board computer based on an ARM Cortex-A8 processor, commonly used for embedded systems, robotics, and hardware prototyping.
  • D. Nvidia Tegra K1
    The Nvidia Tegra K1 is a mobile system-on-chip that introduced desktop-class Kepler GPU architecture to smartphones and tablets, significantly boosting their graphics and compute performance.
  • E. Nvidia Tegra X2
    Nvidia Tegra X2 is a high-performance system-on-chip by Nvidia that combines ARM CPU cores with Pascal-based GPU architecture, designed primarily for embedded, automotive, and edge AI applications.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f01ace8819087f245b9216f4dc8 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e8243d48190baf25b2927de6c62 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:53 p.m.