Triple

T2449834
Position Surface form Disambiguated ID Type / Status
Subject University of Indonesia E53676 entity
Predicate abbreviation P43 FINISHED
Object UI
UI is the commonly used abbreviation for the University of Indonesia, one of the country’s leading public universities.
E267480 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: UI | Statement: [University of Indonesia, abbreviation, UI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UI
Context triple: [University of Indonesia, abbreviation, UI]
  • A. UX
    UX is the two-letter IATA airline designator assigned to the Spanish carrier Air Europa.
  • B. Gui
    Gui is a short form or nickname commonly used for the given name Guillaume.
  • C. UIKit
    UIKit is Apple’s primary user interface framework for building and managing iOS app UIs, handling views, controls, event handling, and application infrastructure.
  • D. Star user interface
    The Star user interface was Xerox’s pioneering graphical user interface that introduced concepts like icons, windows, and desktop metaphors, heavily influencing later systems such as the Apple Macintosh and Microsoft Windows.
  • E. UI Cup
    The UI Cup, officially known as the UEFA Intertoto Cup, was a summer European football competition that offered clubs a route into the UEFA Cup.
  • 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: UI
Triple: [University of Indonesia, abbreviation, UI]
Generated description
UI is the commonly used abbreviation for the University of Indonesia, one of the country’s leading public universities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: UI
Target entity description: UI is the commonly used abbreviation for the University of Indonesia, one of the country’s leading public universities.
  • A. UX
    UX is the two-letter IATA airline designator assigned to the Spanish carrier Air Europa.
  • B. Gui
    Gui is a short form or nickname commonly used for the given name Guillaume.
  • C. UIKit
    UIKit is Apple’s primary user interface framework for building and managing iOS app UIs, handling views, controls, event handling, and application infrastructure.
  • D. Star user interface
    The Star user interface was Xerox’s pioneering graphical user interface that introduced concepts like icons, windows, and desktop metaphors, heavily influencing later systems such as the Apple Macintosh and Microsoft Windows.
  • E. UI Cup
    The UI Cup, officially known as the UEFA Intertoto Cup, was a summer European football competition that offered clubs a route into the UEFA Cup.
  • 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_69ab495d227c8190b26ae6548eeb1019 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd0f2b8488190b1f6a86f0a9f83aa completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0c2a7b08190beb27f6a83208e5c completed March 9, 2026, 4:09 p.m.
NEDg Description generation batch_69aef5de0e4c8190af460b7e2fb2a5eb completed March 9, 2026, 4:31 p.m.
NED2 Entity disambiguation (via description) batch_69aef68a6a18819097876fea0120103b completed March 9, 2026, 4:34 p.m.
Created at: March 6, 2026, 9:43 p.m.