Triple

T576723
Position Surface form Disambiguated ID Type / Status
Subject Qualcomm Snapdragon Wear E13772 entity
Predicate brand P1500 FINISHED
Object Snapdragon E13772 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: Snapdragon | Statement: [Qualcomm Snapdragon Wear, brand, Snapdragon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Snapdragon
Context triple: [Qualcomm Snapdragon Wear, brand, Snapdragon]
  • A. Pixel Qi
    Pixel Qi was a display technology company known for developing low-power, sunlight-readable LCD screens that combined the benefits of e-ink and traditional color displays.
  • B. Qualcomm Snapdragon Wear chosen
    Qualcomm Snapdragon Wear is a family of low-power system-on-chip platforms designed by Qualcomm specifically for wearable devices such as smartwatches and fitness trackers.
  • C. Qualcomm
    Qualcomm is a leading American semiconductor and telecommunications company best known for designing Snapdragon mobile processors and developing key wireless technologies such as 3G, 4G, and 5G.
  • D. Apple A14 Bionic
    Apple A14 Bionic is a 5-nanometer ARM-based system-on-a-chip designed by Apple for high-performance, energy-efficient use in iPhones and iPads.
  • E. ARM
    ARM is a family of energy-efficient RISC processor architectures widely used in mobile devices, embedded systems, and increasingly in laptops and servers.
  • 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b68cc808190b1ba45bdad78443d completed March 1, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5216c43148190961ff8cea8305b7e completed March 2, 2026, 5:34 a.m.
Created at: March 1, 2026, 7:33 p.m.