Triple

T2168858
Position Surface form Disambiguated ID Type / Status
Subject Rutgers University E46975 entity
Predicate abbreviation P43 FINISHED
Object RU
RU is the common abbreviation for Rutgers University, a major public research institution in New Jersey.
 E239774 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: RU | Statement: [Rutgers University, abbreviation, RU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RU
Context triple: [Rutgers University, abbreviation, RU]
  • A. RUS
    RUS is the acronym for the Rural Utilities Service, a U.S. government agency that provides funding and support for rural infrastructure such as electricity, water, and telecommunications.
  • B. Russin
    Russin is a small wine-producing municipality and village located in the canton of Geneva in southwestern Switzerland.
  • C. Rus'
    Rus' was a medieval East Slavic state that emerged in Eastern Europe and laid the foundations for the later Russian, Ukrainian, and Belarusian nations.
  • D. Rusko
    Rusko is a small municipality in southwestern Finland known for its rural character and proximity to the city of Turku.
  • E. Russia
    Russia is the world’s largest country by land area, spanning Eastern Europe and northern Asia and exerting major political, military, and cultural influence globally.
  • 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: RU
Triple: [Rutgers University, abbreviation, RU]
Generated description
RU is the common abbreviation for Rutgers University, a major public research institution in New Jersey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RU
Target entity description: RU is the common abbreviation for Rutgers University, a major public research institution in New Jersey.
  • A. RUS
    RUS is the acronym for the Rural Utilities Service, a U.S. government agency that provides funding and support for rural infrastructure such as electricity, water, and telecommunications.
  • B. Russin
    Russin is a small wine-producing municipality and village located in the canton of Geneva in southwestern Switzerland.
  • C. Rus'
    Rus' was a medieval East Slavic state that emerged in Eastern Europe and laid the foundations for the later Russian, Ukrainian, and Belarusian nations.
  • D. Rusko
    Rusko is a small municipality in southwestern Finland known for its rural character and proximity to the city of Turku.
  • E. Russia
    Russia is the world’s largest country by land area, spanning Eastern Europe and northern Asia and exerting major political, military, and cultural influence globally.
  • 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_69a88a184cbc8190877791f6552c2484 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbeadaed481908d6afa942d7155b8 completed March 7, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58f26334819095202544d37e6850 completed March 9, 2026, 5:21 a.m.
NEDg Description generation batch_69ae5a2055488190855ac173d1e3ad11 completed March 9, 2026, 5:26 a.m.
NED2 Entity disambiguation (via description) batch_69ae5a810b588190a1bb538be46b2010 completed March 9, 2026, 5:28 a.m.
Created at: March 4, 2026, 7:45 p.m.