Triple

T15558944
Position Surface form Disambiguated ID Type / Status
Subject Kennesaw State University E370944 entity
Predicate nickname P55 FINISHED
Object KSU E370944 NE FINISHED

How this triple was built (2 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: KSU | Statement: [Kennesaw State University, nickname, KSU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KSU
Context triple: [Kennesaw State University, nickname, KSU]
  • A. KSU
    KSU is the vehicle registration code used for motor vehicles registered in Kristiansund, Norway.
  • B. KSU
    KSU is a public research university in Kent, Ohio, known for its diverse academic programs and its historical significance related to the 1970 campus shootings.
  • C. KSU
    KSU is the vehicle registration code used on license plates for the town of Sucha Beskidzka in Poland.
  • D. Kennesaw State University chosen
    Kennesaw State University is a large public research university in Georgia known for its diverse academic programs and rapidly growing student population.
  • E. KU
    KU is the commonly used abbreviation for the University of Kashmir, a major public university located in Srinagar, Jammu and Kashmir, India.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04dda3ab88190ab383333ce69fe8f completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff456635588190a2473bcff3ae4a53 completed May 9, 2026, 2:32 p.m.
Created at: April 10, 2026, 4:09 a.m.