Triple

T1690270
Position Surface form Disambiguated ID Type / Status
Subject Surface Duo E36535 entity
Predicate operatingSystem P1593 FINISHED
Object Android 10 E2480 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: Android 10 | Statement: [Surface Duo, operatingSystem, Android 10]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Android 10
Context triple: [Surface Duo, operatingSystem, Android 10]
  • A. Android chosen
    Android is a mobile operating system developed by Google, widely used on smartphones, tablets, and other smart devices around the world.
  • B. Google Pixel 5
    Google Pixel 5 is a 2020 flagship Android smartphone by Google known for its clean software experience, strong camera performance, and integration of advanced computational photography features.
  • C. Pixel 5a
    The Pixel 5a is a mid-range Android smartphone by Google known for its clean software experience, strong camera performance, and long battery life.
  • D. Google Pixel 3
    Google Pixel 3 is a flagship Android smartphone by Google known for its advanced computational photography features and clean software experience.
  • E. Pixel 6
    The Pixel 6 is a Google-designed Android smartphone known for its custom Tensor chip, advanced computational photography, and clean, AI-focused software experience.
  • 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_69a886151508819084fa7f1ce6e05577 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62979da48190a64a04bf352182e0 completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad79947c908190b807205bd44c3254 completed March 8, 2026, 1:28 p.m.
Created at: March 4, 2026, 7:29 p.m.