Triple

T10266813
Position Surface form Disambiguated ID Type / Status
Subject HKQuantitySample E240730 entity
Predicate inheritsFrom P3800 FINISHED
Object HKSample
HKSample is a fundamental HealthKit class that represents a generic piece of health-related data, serving as the base type for more specific sample subclasses like quantity and category samples.
 E853033 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: HKSample | Statement: [HKQuantitySample, inheritsFrom, HKSample]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HKSample
Context triple: [HKQuantitySample, inheritsFrom, HKSample]
  • A. HKY
    HKY is the three-letter IATA airport code for Hickory Regional Airport in Hickory, North Carolina, USA.
  • B. HCKE
    HCKE is the official abbreviation for HC Košice, a professional ice hockey club based in Košice, Slovakia.
  • C. HK21
    The HK21 is a German belt-fed general-purpose machine gun developed by Heckler & Koch, known for its modular design and use of the roller-delayed blowback system.
  • D. HKE
    HKE is the ICAO airline designator for HK Express, a low-cost carrier based in Hong Kong.
  • E. HKm Zvolen
    HKm Zvolen is a professional ice hockey club from Zvolen, Slovakia, competing in the country’s top league and known as one of its prominent teams.
  • 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: HKSample
Triple: [HKQuantitySample, inheritsFrom, HKSample]
Generated description
HKSample is a fundamental HealthKit class that represents a generic piece of health-related data, serving as the base type for more specific sample subclasses like quantity and category samples.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HKSample
Target entity description: HKSample is a fundamental HealthKit class that represents a generic piece of health-related data, serving as the base type for more specific sample subclasses like quantity and category samples.
  • A. HKY
    HKY is the three-letter IATA airport code for Hickory Regional Airport in Hickory, North Carolina, USA.
  • B. HCKE
    HCKE is the official abbreviation for HC Košice, a professional ice hockey club based in Košice, Slovakia.
  • C. HK21
    The HK21 is a German belt-fed general-purpose machine gun developed by Heckler & Koch, known for its modular design and use of the roller-delayed blowback system.
  • D. HKE
    HKE is the ICAO airline designator for HK Express, a low-cost carrier based in Hong Kong.
  • E. HKm Zvolen
    HKm Zvolen is a professional ice hockey club from Zvolen, Slovakia, competing in the country’s top league and known as one of its prominent teams.
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d26d4dd88190bdd324bafa1e8e00 completed April 7, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f805d49c8190becddbbf17ac65fd completed April 9, 2026, 12:51 a.m.
NEDg Description generation batch_69d6fcaca55c81908a48ac2a0ce24b85 completed April 9, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69d6fd772bc08190bf270f5fc767fb29 completed April 9, 2026, 1:14 a.m.
Created at: April 6, 2026, 11:34 a.m.