Triple

T12144764
Position Surface form Disambiguated ID Type / Status
Subject University of Nebraska system E289287 entity
Predicate abbreviation P43 FINISHED
Object NU
NU is the commonly used abbreviation for the University of Nebraska system, a public university network in the U.S. state of Nebraska.
 E964354 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: NU | Statement: [University of Nebraska system, abbreviation, NU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NU
Context triple: [University of Nebraska system, abbreviation, NU]
  • A. NU
    NU is a leading Japanese national research university located in Nagoya, known for its strong programs in science, engineering, and the humanities.
  • B. NU
    NU is the official two-letter Canada Post abbreviation for the northern Canadian territory of Nunavut.
  • C. NU
    NU is the two-letter ISO 3166 country code for Niue, a small island nation in the South Pacific Ocean.
  • D. NU
    NU is the vehicle registration code used on license plates for the district of Neu-Ulm in Bavaria, Germany.
  • E. NE
    NE is the common abbreviation for the New England Revolution, a professional Major League Soccer club based in the Greater Boston area.
  • 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: NU
Triple: [University of Nebraska system, abbreviation, NU]
Generated description
NU is the commonly used abbreviation for the University of Nebraska system, a public university network in the U.S. state of Nebraska.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NU
Target entity description: NU is the commonly used abbreviation for the University of Nebraska system, a public university network in the U.S. state of Nebraska.
  • A. NU
    NU is a leading Japanese national research university located in Nagoya, known for its strong programs in science, engineering, and the humanities.
  • B. NU
    NU is the official two-letter Canada Post abbreviation for the northern Canadian territory of Nunavut.
  • C. NU
    NU is the two-letter ISO 3166 country code for Niue, a small island nation in the South Pacific Ocean.
  • D. NU
    NU is the vehicle registration code used on license plates for the district of Neu-Ulm in Bavaria, Germany.
  • E. NE
    NE is the common abbreviation for the New England Revolution, a professional Major League Soccer club based in the Greater Boston area.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915aacaa08190b31f54e230334406 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f69501348190a9ac090c7db37c20 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f5ff826ea08190a6780351e4b927ac completed May 2, 2026, 1:43 p.m.
NED2 Entity disambiguation (via description) batch_69f60185ce8c8190abe3b1f633aac55d completed May 2, 2026, 1:52 p.m.
Created at: April 8, 2026, 9:49 p.m.