Triple

T9002336
Position Surface form Disambiguated ID Type / Status
Subject EP&S E215065 entity
Predicate ownsBrand P1500 FINISHED
Object Xperia E41408 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: Xperia | Statement: [EP&S, ownsBrand, Xperia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xperia
Context triple: [EP&S, ownsBrand, Xperia]
  • A. Xperia chosen
    Xperia is Sony's line of smartphones and tablets known for their sleek design, high-quality displays, and advanced camera technology.
  • B. Moto X
    Moto X is a line of Android smartphones developed by Motorola Mobility, known for its near-stock software experience and emphasis on user customization and voice control features.
  • C. Moto G
    Moto G is a popular line of budget-friendly Android smartphones known for offering strong performance and features at an affordable price.
  • D. HTC Zoe
    HTC Zoe is a camera and gallery feature introduced by HTC that captures short video-like photo sequences and creates dynamic, shareable moments from still images.
  • E. Nokia X
    Nokia X is a line of budget smartphones by Nokia that ran a customized version of Android with a Windows Phone–inspired interface.
  • 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_69ca83a12d648190b1e4fe11e8a31890 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6956a6e08190bd3853a7c1c130eb completed April 1, 2026, 12:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d017643df48190abdb672a3f85aef3 completed April 3, 2026, 7:39 p.m.
Created at: March 30, 2026, 7:05 p.m.