Triple

T21423403
Position Surface form Disambiguated ID Type / Status
Subject Enchanter E528492 entity
Predicate platform P1292 FINISHED
Object Sharp X1 NE NERFINISHED

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 | Statement: [Enchanter, platform, Sharp X1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sharp X1
Context triple: [Enchanter, platform, Sharp X1]
  • 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. One X
    One X is a radio brand associated with Radio One, Inc., likely offering music and entertainment programming targeted to urban and contemporary audiences.
  • C. X5
    X5 is a bus service operated by Stagecoach in Oxfordshire, providing interurban public transport between major towns and cities in the region.
  • D. Xperia
    Xperia is Sony's line of smartphones and tablets known for their sleek design, high-quality displays, and advanced camera technology.
  • E. X260
    X260 is the internal designation for the second-generation Jaguar XF, a mid-size luxury sedan produced by the British automaker Jaguar.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee8139ce848190b812d6d07f1bdef8 completed April 26, 2026, 9:18 p.m.
Created at: April 16, 2026, 5:48 p.m.