Triple

T1851334
Position Surface form Disambiguated ID Type / Status
Subject California Baptist University E41599 entity
Predicate abbreviation P43 FINISHED
Object CBU
CBU is a private Christian university in Riverside, California, known for its faith-based education and diverse undergraduate and graduate programs.
 E204954 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: CBU | Statement: [California Baptist University, abbreviation, CBU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CBU
Context triple: [California Baptist University, abbreviation, CBU]
  • A. CUW
    CUW is the three-letter ISO 3166-1 alpha-3 country code assigned to Curaçao.
  • B. UCA
    UCA is the Unicode Collation Algorithm, a Unicode standard that defines a language-independent method for ordering and comparing Unicode text.
  • C. CUB
    CUB is the three-letter ISO 3166-1 alpha-3 country code assigned to Cuba for international standardization and identification purposes.
  • D. CUB
    CUB is the ICAO airline designator assigned to Cubana de Aviación, the national flag carrier of Cuba.
  • E. ACU
    ACU is the standard camouflage field uniform worn by soldiers of the United States Army.
  • 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: CBU
Triple: [California Baptist University, abbreviation, CBU]
Generated description
CBU is a private Christian university in Riverside, California, known for its faith-based education and diverse undergraduate and graduate programs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CBU
Target entity description: CBU is a private Christian university in Riverside, California, known for its faith-based education and diverse undergraduate and graduate programs.
  • A. CUW
    CUW is the three-letter ISO 3166-1 alpha-3 country code assigned to Curaçao.
  • B. UCA
    UCA is the Unicode Collation Algorithm, a Unicode standard that defines a language-independent method for ordering and comparing Unicode text.
  • C. CUB
    CUB is the three-letter ISO 3166-1 alpha-3 country code assigned to Cuba for international standardization and identification purposes.
  • D. CUB
    CUB is the ICAO airline designator assigned to Cubana de Aviación, the national flag carrier of Cuba.
  • E. ACU
    ACU is the standard camouflage field uniform worn by soldiers of the United States Army.
  • 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_69a8864a83848190a4ec02721306c511 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb06829b081908767b3df5524c7d4 completed March 7, 2026, 4:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9c81f2c81908339f6a1d1987631 completed March 8, 2026, 7:11 p.m.
NEDg Description generation batch_69adcb1565a881908dfc906654429e3f completed March 8, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_69adcbbc8a108190ad77e91f2ec14b8f completed March 8, 2026, 7:19 p.m.
Created at: March 4, 2026, 7:33 p.m.