Triple

T19451083
Position Surface form Disambiguated ID Type / Status
Subject iPhone 15 series E486614 entity
Predicate predecessorConnectorType P80614 FINISHED
Object Lightning NE NERFINISHED

How this triple was built (3 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: Lightning | Statement: [iPhone 15 series, predecessorConnectorType, Lightning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lightning
Context triple: [iPhone 15 series, predecessorConnectorType, Lightning]
  • A. Lightning chosen
    Lightning is Apple’s proprietary compact connector used for charging and data transfer on many of its mobile devices and accessories.
  • B. Lightning
    "Lightning" is a bestselling suspense novel by Dean Koontz that blends thriller, science fiction, and supernatural elements in a time-bending story of fate and protection.
  • C. Lightning
    Lightning is the athletic mascot representing Sage Hill School’s sports teams and school spirit.
  • D. Lightning
    Lightning is the blue winged horse mascot that represents the Middle Tennessee State University Blue Raiders athletic teams.
  • E. Lightning
    Lightning is the nickname of the Milton Keynes Lightning, a professional ice hockey team based in Milton Keynes, England.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: predecessorConnectorType
Context triple: [iPhone 15 series, predecessorConnectorType, Lightning]
  • A. predecessorRelationship chosen
    Indicates that one entity comes before another in an ordered sequence, chain, or lineage, serving as its prior or earlier counterpart.
  • B. predecessorProcess
    Indicates that one process occurs or is executed before another process in a defined sequence or workflow.
  • C. successorConnector
    Indicates a relationship where one element is directly connected to and follows another in a sequence or ordered structure.
  • D. predecessorBinding
    Indicates that one binding or assignment directly precedes and provides context or input for another binding in a sequence or dependency chain.
  • E. predecessorRelations
    Indicates that one entity comes before another in an ordered sequence or lineage, serving as its predecessor.
  • F. None of above.

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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6338db7c081908793f23592ebef6b completed April 20, 2026, 2:09 p.m.
PD Predicate disambiguation batch_69e4fd7499a4819082bec0be8afba35c completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 1:38 p.m.