Triple

T15098568
Position Surface form Disambiguated ID Type / Status
Subject Android reference devices E360603 entity
Predicate hasMember P10 FINISHED
Object Pixel 3 E72113 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: Pixel 3 | Statement: [Android reference devices, hasMember, Pixel 3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pixel 3
Context triple: [Android reference devices, hasMember, Pixel 3]
  • A. Pixel 3a
    The Pixel 3a is a mid-range Android smartphone by Google known for delivering flagship-level camera performance at a lower price point.
  • B. Google Pixel 3 chosen
    Google Pixel 3 is a flagship Android smartphone by Google known for its advanced computational photography features and clean software experience.
  • C. Pixel 2
    Pixel 2 is Google's second-generation flagship Android smartphone line, known for its high-quality camera, clean software experience, and integration with Google services.
  • D. Google Pixel 4
    Google Pixel 4 is a flagship Android smartphone by Google known for its advanced computational photography, including powerful low-light camera capabilities, and tight integration with Google’s software and services.
  • E. Pixel 4a
    The Pixel 4a is a mid-range Android smartphone by Google known for its excellent camera, clean software experience, and compact, budget-friendly design.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0054f00388190a5123d9f4a869b96 completed April 15, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae230d148190a343ac92fb089902 completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 3:04 a.m.