Triple

T2268426
Position Surface form Disambiguated ID Type / Status
Subject Eastern Kentucky University E50601 entity
Predicate abbreviation P43 FINISHED
Object EKU
EKU is a public university located in Richmond, Kentucky, known for its programs in education, criminal justice, and liberal arts.
 E249960 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: EKU | Statement: [Eastern Kentucky University, abbreviation, EKU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EKU
Context triple: [Eastern Kentucky University, abbreviation, EKU]
  • A. UAK
    UAK was the temporary currency code used for the Ukrainian karbovanets, a transitional currency of Ukraine in the early 1990s before the introduction of the hryvnia.
  • B. ESU
    ESU is a specialized police emergency response unit that handles high-risk situations such as tactical operations, rescues, and hazardous incidents.
  • C. KU
    KU is a common abbreviation for Kyoto University, a prestigious national research university in Kyoto, Japan.
  • D. KU
    KU is the commonly used abbreviation for Kettering University, a private university in Flint, Michigan known for its strong engineering and cooperative education programs.
  • E. KU
    KU is the vehicle registration code assigned to the district of Kulmbach in the Upper Franconia region of Bavaria, Germany.
  • 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: EKU
Triple: [Eastern Kentucky University, abbreviation, EKU]
Generated description
EKU is a public university located in Richmond, Kentucky, known for its programs in education, criminal justice, and liberal arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EKU
Target entity description: EKU is a public university located in Richmond, Kentucky, known for its programs in education, criminal justice, and liberal arts.
  • A. UAK
    UAK was the temporary currency code used for the Ukrainian karbovanets, a transitional currency of Ukraine in the early 1990s before the introduction of the hryvnia.
  • B. ESU
    ESU is a specialized police emergency response unit that handles high-risk situations such as tactical operations, rescues, and hazardous incidents.
  • C. KU
    KU is a common abbreviation for Kyoto University, a prestigious national research university in Kyoto, Japan.
  • D. KU
    KU is the commonly used abbreviation for Kettering University, a private university in Flint, Michigan known for its strong engineering and cooperative education programs.
  • E. KU
    KU is the vehicle registration code assigned to the district of Kulmbach in the Upper Franconia region of Bavaria, Germany.
  • 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_69a88b05910c8190a9a2b1ff230c85f9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc1bbb49c8190822c7d809375e879 completed March 7, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71d70e488190a2f8276dd7a7bf9e completed March 9, 2026, 7:08 a.m.
NEDg Description generation batch_69ae7470e3ac8190ac6e8f7cd10a4262 completed March 9, 2026, 7:19 a.m.
NED2 Entity disambiguation (via description) batch_69ae751895808190aac33870d80aab55 completed March 9, 2026, 7:22 a.m.
Created at: March 4, 2026, 7:48 p.m.