Triple

T5432853
Position Surface form Disambiguated ID Type / Status
Subject SpriteKit E121536 entity
Predicate includes P1393 FINISHED
Object SKNode
SKNode is the fundamental building-block class in Apple's SpriteKit framework, representing a node in a scene graph that can display content or act as a container for other nodes.
 E518838 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: SKNode | Statement: [SpriteKit, includes, SKNode]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SKNode
Context triple: [SpriteKit, includes, SKNode]
  • A. SKN
    SKN is the station code for South Kensington tube station, a major London Underground interchange serving the South Kensington area.
  • B. KTN
    KTN is the three-letter IATA airport code for Ketchikan International Airport in Ketchikan, Alaska.
  • C. KGN
    KGN is the standard three-letter abbreviation used for the Kingston Frontenacs, a major junior ice hockey team in the Ontario Hockey League.
  • D. KSL
    KSL is the primary sign language used by the Deaf community in South Korea, with its own distinct grammar and vocabulary separate from spoken Korean.
  • E. KNS
    KNS is the Polish vehicle registration code assigned to the Nowy Sącz area in the Lesser Poland Voivodeship.
  • 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: SKNode
Triple: [SpriteKit, includes, SKNode]
Generated description
SKNode is the fundamental building-block class in Apple's SpriteKit framework, representing a node in a scene graph that can display content or act as a container for other nodes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SKNode
Target entity description: SKNode is the fundamental building-block class in Apple's SpriteKit framework, representing a node in a scene graph that can display content or act as a container for other nodes.
  • A. SKN
    SKN is the station code for South Kensington tube station, a major London Underground interchange serving the South Kensington area.
  • B. KTN
    KTN is the three-letter IATA airport code for Ketchikan International Airport in Ketchikan, Alaska.
  • C. KGN
    KGN is the standard three-letter abbreviation used for the Kingston Frontenacs, a major junior ice hockey team in the Ontario Hockey League.
  • D. KSL
    KSL is the primary sign language used by the Deaf community in South Korea, with its own distinct grammar and vocabulary separate from spoken Korean.
  • E. KNS
    KNS is the Polish vehicle registration code assigned to the Nowy Sącz area in the Lesser Poland Voivodeship.
  • F. None of above. chosen

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_69bd463c65f0819082ee6483ab4b466a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8840ade481909dae2eecc77d73b8 completed March 20, 2026, 5:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3ac985e48190ba9610e0563c73ab completed March 22, 2026, 12:41 a.m.
NEDg Description generation batch_69bf3b663b148190807d35421c911d74 completed March 22, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_69bf3c2b9d04819081a946e9f68c4eb2 completed March 22, 2026, 12:47 a.m.
Created at: March 20, 2026, 2:06 p.m.