Triple

T3451786
Position Surface form Disambiguated ID Type / Status
Subject Moto E E72808 entity
Predicate hasModel P2390 FINISHED
Object Moto E5 Play E72808 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: Moto E5 Play | Statement: [Moto E, hasModel, Moto E5 Play]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moto E5 Play
Context triple: [Moto E, hasModel, Moto E5 Play]
  • A. Moto E chosen
    Moto E is a line of budget-friendly Android smartphones produced by Motorola Mobility, known for offering essential features at low cost.
  • B. Moto G
    Moto G is a popular line of budget-friendly Android smartphones known for offering strong performance and features at an affordable price.
  • C. Moto C
    Moto C is an entry-level Android smartphone line by Motorola designed to offer basic smartphone features at a very low price point.
  • D. Moto One
    Moto One is a line of Motorola smartphones known for offering a near-stock Android experience with timely software updates.
  • E. Nokia E5
    The Nokia E5 is a mid-range QWERTY smartphone running Symbian, designed primarily for business and messaging within Nokia’s Eseries lineup.
  • 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_69ad85b12a908190a1d10a6b03b4f8ae completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba7465248190947f9096e230e1c4 completed March 8, 2026, 6:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69b432f3af6c8190ba09e3ab8fbad7da completed March 13, 2026, 3:53 p.m.
Created at: March 8, 2026, 3:16 p.m.