Triple

T12562111
Position Surface form Disambiguated ID Type / Status
Subject TeX Live E295375 entity
Predicate developer P73 FINISHED
Object TUG
TUG (TeX Users Group) is an international organization that supports and promotes the TeX typesetting system and related software.
E991145 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: TUG | Statement: [TeX Live, developer, TUG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TUG
Context triple: [TeX Live, developer, TUG]
  • A. TUG
    TUG is the commonly used abbreviation for Graz University of Technology, a major Austrian university specializing in engineering and technical sciences.
  • B. TOG
    TOG is the commonly used abbreviation for The Open Group, an international consortium that develops open, vendor-neutral technology standards and certifications.
  • C. TGW
    TGW is the ICAO airline designator for Scoot, a Singapore-based low-cost carrier.
  • D. TWG
    TWG is the commonly used abbreviation for The World Games, an international multi-sport event featuring disciplines not contested in the Olympic Games.
  • E. Tugen
    Tugen is a Southern Nilotic language spoken primarily by the Tugen people of Kenya’s Rift Valley region.
  • 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: TUG
Triple: [TeX Live, developer, TUG]
Generated description
TUG (TeX Users Group) is an international organization that supports and promotes the TeX typesetting system and related software.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TUG
Target entity description: TUG (TeX Users Group) is an international organization that supports and promotes the TeX typesetting system and related software.
  • A. TUG
    TUG is the commonly used abbreviation for Graz University of Technology, a major Austrian university specializing in engineering and technical sciences.
  • B. TOG
    TOG is the commonly used abbreviation for The Open Group, an international consortium that develops open, vendor-neutral technology standards and certifications.
  • C. TGW
    TGW is the ICAO airline designator for Scoot, a Singapore-based low-cost carrier.
  • D. TWG
    TWG is the commonly used abbreviation for The World Games, an international multi-sport event featuring disciplines not contested in the Olympic Games.
  • E. Tugen
    Tugen is a Southern Nilotic language spoken primarily by the Tugen people of Kenya’s Rift Valley region.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95494ae1c81908b9ee14b8ef92a65 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6558da7e0819086860bfaf394e2d8 completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f65a0f1b2881908a7cb21c9de1a5c2 completed May 2, 2026, 8:09 p.m.
NED2 Entity disambiguation (via description) batch_69f65ad4424c8190933759cca5d73c22 completed May 2, 2026, 8:13 p.m.
Created at: April 8, 2026, 11:48 p.m.