Triple

T11016612
Position Surface form Disambiguated ID Type / Status
Subject Enterprise Objects Framework E260380 entity
Predicate hasComponent P35 FINISHED
Object EOQualifier
EOQualifier is a component of Apple’s Enterprise Objects Framework used to define and evaluate query conditions for selecting enterprise objects.
 E900222 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: EOQualifier | Statement: [Enterprise Objects Framework, hasComponent, EOQualifier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EOQualifier
Context triple: [Enterprise Objects Framework, hasComponent, EOQualifier]
  • A. EGQL
    EGQL is the ICAO airport code assigned to RAF Leuchars, a Royal Air Force station and airfield in Scotland.
  • B. EGQuery
    EGQuery is an NCBI E-utilities tool that provides a summary of how many records match a given search term across all NCBI databases.
  • C. QOR
    QOR is the abbreviation commonly used for The Queen's Own Rifles of Canada, a historic primary reserve infantry regiment of the Canadian Army.
  • D. QEF
    QEF is the IATA airport code for Frankfurt Egelsbach Airport, a general aviation airfield near Frankfurt, Germany.
  • E. Criteria API
    Criteria API is a type-safe, programmatic query-building framework in Java used to construct database queries dynamically within the Java Persistence API (JPA).
  • 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: EOQualifier
Triple: [Enterprise Objects Framework, hasComponent, EOQualifier]
Generated description
EOQualifier is a component of Apple’s Enterprise Objects Framework used to define and evaluate query conditions for selecting enterprise objects.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EOQualifier
Target entity description: EOQualifier is a component of Apple’s Enterprise Objects Framework used to define and evaluate query conditions for selecting enterprise objects.
  • A. EGQL
    EGQL is the ICAO airport code assigned to RAF Leuchars, a Royal Air Force station and airfield in Scotland.
  • B. EGQuery
    EGQuery is an NCBI E-utilities tool that provides a summary of how many records match a given search term across all NCBI databases.
  • C. QOR
    QOR is the abbreviation commonly used for The Queen's Own Rifles of Canada, a historic primary reserve infantry regiment of the Canadian Army.
  • D. QEF
    QEF is the IATA airport code for Frankfurt Egelsbach Airport, a general aviation airfield near Frankfurt, Germany.
  • E. Criteria API
    Criteria API is a type-safe, programmatic query-building framework in Java used to construct database queries dynamically within the Java Persistence API (JPA).
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797a682908190b061d1995e2866b6 completed April 9, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69e374d371ec8190aba9e77346c6e876 completed April 18, 2026, 12:10 p.m.
NEDg Description generation batch_69e37ab6ca788190ac41f9494ad9a47f completed April 18, 2026, 12:36 p.m.
NED2 Entity disambiguation (via description) batch_69e37c9439fc8190a69cfb1a13da4c19 completed April 18, 2026, 12:44 p.m.
Created at: April 8, 2026, 9:25 p.m.