Triple

T7937524
Position Surface form Disambiguated ID Type / Status
Subject YUM E184320 entity
Predicate inspiredBy P9 FINISHED
Object Yellowdog Updater (YUP)
Yellowdog Updater (YUP) is an early package management tool for RPM-based Linux systems that served as a conceptual predecessor to the more widely used YUM.
 E699697 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: Yellowdog Updater (YUP) | Statement: [YUM, inspiredBy, Yellowdog Updater (YUP)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yellowdog Updater (YUP)
Context triple: [YUM, inspiredBy, Yellowdog Updater (YUP)]
  • A. YUL
    YUL is the three-letter IATA airport code for Montréal–Trudeau International Airport, the primary international air gateway serving Montreal, Canada.
  • B. UPY
    UPY is a reporting mark used by Union Pacific Railroad, primarily identifying its yard and switching locomotives.
  • C. Kanmu
    Kanmu was a powerful Japanese emperor of the late 8th and early 9th centuries best known for relocating the capital to Heian-kyō, laying the foundations of the Heian period.
  • D. YUC
    YUC is the official vehicle registration code used on license plates for the Mexican state of Yucatán.
  • E. YBUD
    YBUD is the ICAO airport code assigned to Bundaberg Airport in Queensland, Australia.
  • 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: Yellowdog Updater (YUP)
Triple: [YUM, inspiredBy, Yellowdog Updater (YUP)]
Generated description
Yellowdog Updater (YUP) is an early package management tool for RPM-based Linux systems that served as a conceptual predecessor to the more widely used YUM.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yellowdog Updater (YUP)
Target entity description: Yellowdog Updater (YUP) is an early package management tool for RPM-based Linux systems that served as a conceptual predecessor to the more widely used YUM.
  • A. YUL
    YUL is the three-letter IATA airport code for Montréal–Trudeau International Airport, the primary international air gateway serving Montreal, Canada.
  • B. UPY
    UPY is a reporting mark used by Union Pacific Railroad, primarily identifying its yard and switching locomotives.
  • C. Kanmu
    Kanmu was a powerful Japanese emperor of the late 8th and early 9th centuries best known for relocating the capital to Heian-kyō, laying the foundations of the Heian period.
  • D. YUC
    YUC is the official vehicle registration code used on license plates for the Mexican state of Yucatán.
  • E. YBUD
    YBUD is the ICAO airport code assigned to Bundaberg Airport in Queensland, Australia.
  • 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_69ca8290c21c8190906a5ca6fe2b03c4 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3aef2394819086eea1f6ab117aed completed March 31, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5c0a96ac819099ad30fb925eb329 completed March 31, 2026, 5:30 a.m.
NEDg Description generation batch_69cb7634f4dc8190b5e537f24bccd651 completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbb67e77a48190b93c6ba61becfac4 completed March 31, 2026, 11:56 a.m.
Created at: March 30, 2026, 5:08 p.m.