Triple

T9028055
Position Surface form Disambiguated ID Type / Status
Subject Developer Transition Kit (Intel) E216095 entity
Predicate codeName P744 FINISHED
Object DTK
DTK is Apple’s Intel-based Developer Transition Kit Mac mini-style prototype used to help developers prepare their apps for the company’s transition to Apple Silicon.
 E773463 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: DTK | Statement: [Developer Transition Kit (Intel), codeName, DTK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DTK
Context triple: [Developer Transition Kit (Intel), codeName, DTK]
  • A. DTCL
    DTCL is the Office of Defense Trade Controls Licensing within the U.S. Department of State that reviews and authorizes exports of defense articles and services under the International Traffic in Arms Regulations (ITAR).
  • B. DTL
    DTL is a type of linear accelerator structure that uses a series of drift tubes within an RF cavity to efficiently accelerate charged particle beams.
  • C. DT5
    DT5 is a UK postcode district covering parts of the Isle of Portland in Dorset, England.
  • D. DKT
    DKT is the National Rail station code for Dorking West railway station in Surrey, England.
  • E. DT
    DT is the widely used nickname for Diana Taurasi, a legendary American professional basketball player regarded as one of the greatest in WNBA history.
  • 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: DTK
Triple: [Developer Transition Kit (Intel), codeName, DTK]
Generated description
DTK is Apple’s Intel-based Developer Transition Kit Mac mini-style prototype used to help developers prepare their apps for the company’s transition to Apple Silicon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DTK
Target entity description: DTK is Apple’s Intel-based Developer Transition Kit Mac mini-style prototype used to help developers prepare their apps for the company’s transition to Apple Silicon.
  • A. DTCL
    DTCL is the Office of Defense Trade Controls Licensing within the U.S. Department of State that reviews and authorizes exports of defense articles and services under the International Traffic in Arms Regulations (ITAR).
  • B. DTL
    DTL is a type of linear accelerator structure that uses a series of drift tubes within an RF cavity to efficiently accelerate charged particle beams.
  • C. DT5
    DT5 is a UK postcode district covering parts of the Isle of Portland in Dorset, England.
  • D. DKT
    DKT is the National Rail station code for Dorking West railway station in Surrey, England.
  • E. DT
    DT is the widely used nickname for Diana Taurasi, a legendary American professional basketball player regarded as one of the greatest in WNBA history.
  • 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_69ca83a5fa88819088144801b4dd7245 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a7fcb308190af90d6be8700e498 completed April 1, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdbc289648190834031537c8ce130 completed April 3, 2026, 3:24 p.m.
NEDg Description generation batch_69cfde57a18c8190b4b8c8d2f521bd2c completed April 3, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_69cfdec619d081909fd6b268f4ce06b9 completed April 3, 2026, 3:37 p.m.
Created at: March 30, 2026, 7:07 p.m.