Triple

T21552400
Position Surface form Disambiguated ID Type / Status
Subject 7th generation iPad E531794 entity
Predicate connectorType P1374 FINISHED
Object Lightning
Lightning is Apple’s proprietary digital connector and interface used for charging and data transfer on many of its mobile devices.
 E268848 NE FINISHED

How this triple was built (4 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: [7th generation iPad, connectorType, Lightning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lightning
Context triple: [7th generation iPad, connectorType, Lightning]
  • A. 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.
  • B. Lightning
    Lightning is the athletic mascot representing Sage Hill School’s sports teams and school spirit.
  • C. Lightning
    Lightning is the blue winged horse mascot that represents the Middle Tennessee State University Blue Raiders athletic teams.
  • D. Lightning
    Lightning is the nickname of the Milton Keynes Lightning, a professional ice hockey team based in Milton Keynes, England.
  • E. Lightning
    The Lightning was a British supersonic fighter aircraft renowned for its exceptional climb rate and speed, serving as a key interceptor for the Royal Air Force during the Cold War.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lightning
Triple: [7th generation iPad, connectorType, Lightning]
Generated description
Lightning is Apple’s proprietary digital connector and interface used for charging and data transfer on many of its mobile devices.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lightning
Target entity description: Lightning is Apple’s proprietary digital connector and interface used for charging and data transfer on many of its mobile devices.
  • 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 the athletic mascot representing Sage Hill School’s sports teams and school spirit.
  • C. Lightning
    The Lightning was a British supersonic fighter aircraft renowned for its exceptional climb rate and speed, serving as a key interceptor for the Royal Air Force during the Cold War.
  • D. Lightning
    Lightning is the nickname of the Milton Keynes Lightning, a professional ice hockey team based in Milton Keynes, England.
  • E. 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.
  • F. None of above.

Provenance (5 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_69e0c460232c81908de2c3819d17c00e completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeb59375f481909d9e2b66d18c7c32 completed April 27, 2026, 1:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09eee3c6408190bf0873b01660612a completed May 17, 2026, 4:37 p.m.
NEDg Description generation batch_6a09ef7271e081908a1cd70297376ae3 completed May 17, 2026, 4:40 p.m.
NED2 Entity disambiguation (via description) batch_6a09f00ec300819082ee644a512a9cdf completed May 17, 2026, 4:42 p.m.
Created at: April 16, 2026, 6:29 p.m.