Triple

T5479502
Position Surface form Disambiguated ID Type / Status
Subject IMT-2000 family E123435 entity
Predicate includesTechnology P1485 FINISHED
Object UWC-136
UWC-136 is a mobile telecommunications standard within the IMT-2000 family designed to support third-generation (3G) wireless services.
E522233 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: UWC-136 | Statement: [IMT-2000 family, includesTechnology, UWC-136]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UWC-136
Context triple: [IMT-2000 family, includesTechnology, UWC-136]
  • A. UC-64 Norseman
    The UC-64 Norseman is a rugged, single-engine Canadian bush plane widely used by Allied forces in World War II for transport and utility missions.
  • B.
    WÜ is the vehicle registration code for the city and district of Würzburg in the Lower Franconia region of Bavaria, Germany.
  • C. U-125A
    The U-125A is a Japanese Air Self-Defense Force search-and-rescue variant of the British-built Hawker 800 business jet, equipped with specialized sensors and rescue equipment.
  • D. UCH
    UCH is a leading public research university in Santiago, Chile, renowned for its academic excellence and significant influence on the country’s intellectual and cultural life.
  • E. WU
    WU is the stock ticker symbol for Western Union, a global financial services company best known for its money transfer and payment services.
  • 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: UWC-136
Triple: [IMT-2000 family, includesTechnology, UWC-136]
Generated description
UWC-136 is a mobile telecommunications standard within the IMT-2000 family designed to support third-generation (3G) wireless services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: UWC-136
Target entity description: UWC-136 is a mobile telecommunications standard within the IMT-2000 family designed to support third-generation (3G) wireless services.
  • A. UC-64 Norseman
    The UC-64 Norseman is a rugged, single-engine Canadian bush plane widely used by Allied forces in World War II for transport and utility missions.
  • B.
    WÜ is the vehicle registration code for the city and district of Würzburg in the Lower Franconia region of Bavaria, Germany.
  • C. U-125A
    The U-125A is a Japanese Air Self-Defense Force search-and-rescue variant of the British-built Hawker 800 business jet, equipped with specialized sensors and rescue equipment.
  • D. UCH
    UCH is a leading public research university in Santiago, Chile, renowned for its academic excellence and significant influence on the country’s intellectual and cultural life.
  • E. WU
    WU is the stock ticker symbol for Western Union, a global financial services company best known for its money transfer and payment services.
  • 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_69bd4648883481909e9775d43300c5fa completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9248ca348190aa116cace0f9b07a completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf48a001c081909b0e9f1b36fd10db completed March 22, 2026, 1:40 a.m.
NEDg Description generation batch_69bf496861f08190aca539510ddfebbc completed March 22, 2026, 1:44 a.m.
NED2 Entity disambiguation (via description) batch_69bf49c564188190b4b3a40ee09b0461 completed March 22, 2026, 1:45 a.m.
Created at: March 20, 2026, 2:09 p.m.