Triple

T8413420
Position Surface form Disambiguated ID Type / Status
Subject Sharp X1 E198675 entity
Predicate series P1761 FINISHED
Object Sharp X1 series E198675 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: Sharp X1 series | Statement: [Sharp X1, series, Sharp X1 series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sharp X1 series
Context triple: [Sharp X1, series, Sharp X1 series]
  • A. Sharp X1 chosen
    The Sharp X1 is a series of 8-bit home computers released by Sharp Corporation in the early 1980s, known for their advanced graphics and sound capabilities in the Japanese market.
  • B. Xperia
    Xperia is Sony's line of smartphones and tablets known for their sleek design, high-quality displays, and advanced camera technology.
  • C. Bravia
    Bravia is Sony's line of high-definition televisions and display products known for their advanced picture and sound technologies.
  • D. 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.
  • E. SX5E
    SX5E is the ticker symbol for the Euro Stoxx 50, a leading stock index representing 50 major blue-chip companies from countries in the eurozone.
  • 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_69ca831201b481909e137936ef99ff11 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb83e18e7c8190a30b14136dee3d93 completed March 31, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce032a25ec819094c6346eb2a7f973 completed April 2, 2026, 5:48 a.m.
Created at: March 30, 2026, 6:06 p.m.