Triple

T8596965
Position Surface form Disambiguated ID Type / Status
Subject Kutztown University of Pennsylvania E203575 entity
Predicate shortName P43 FINISHED
Object KU
KU is the commonly used abbreviation for Kutztown University of Pennsylvania, a public university located in Kutztown, Pennsylvania.
 E746280 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: KU | Statement: [Kutztown University of Pennsylvania, shortName, KU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KU
Context triple: [Kutztown University of Pennsylvania, shortName, KU]
  • A. KU
    KU is a common abbreviation for Kyoto University, a prestigious national research university in Kyoto, Japan.
  • B. 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.
  • C. KU
    KU is the vehicle registration code assigned to the district of Kulmbach in the Upper Franconia region of Bavaria, Germany.
  • D. KU
    KU is the commonly used abbreviation for Korea University, one of South Korea’s leading private research universities.
  • E. KU
    KU is a common abbreviation for the University of Karachi, a major public research university in Karachi, Pakistan.
  • 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: KU
Triple: [Kutztown University of Pennsylvania, shortName, KU]
Generated description
KU is the commonly used abbreviation for Kutztown University of Pennsylvania, a public university located in Kutztown, Pennsylvania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KU
Target entity description: KU is the commonly used abbreviation for Kutztown University of Pennsylvania, a public university located in Kutztown, Pennsylvania.
  • A. KU
    KU is a common abbreviation for the University of Karachi, a major public research university in Karachi, Pakistan.
  • B. 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.
  • C. KU
    KU is the commonly used abbreviation for Korea University, one of South Korea’s leading private research universities.
  • D. KU
    KU is a common abbreviation for Kyoto University, a prestigious national research university in Kyoto, Japan.
  • E. KU
    KU is the University of Kansas, a major public research university in Lawrence, Kansas, known for its strong athletics and distinctive school traditions.
  • 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_69ca832b56948190ba751cec255308f1 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46c945dc8190a313c61c0db46187 completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea8d3fcfc8190bc51a38715ed453e completed April 2, 2026, 5:35 p.m.
NEDg Description generation batch_69ceac90764c81908c349729bd22a9af completed April 2, 2026, 5:51 p.m.
NED2 Entity disambiguation (via description) batch_69cead4a4f148190aa39e774528730c9 completed April 2, 2026, 5:54 p.m.
Created at: March 30, 2026, 6:24 p.m.