Triple

T6534934
Position Surface form Disambiguated ID Type / Status
Subject MIT–Harvard Center for Ultracold Atoms E152334 entity
Predicate abbreviation P43 FINISHED
Object CUA
CUA is a joint MIT–Harvard research center focused on the study of ultracold atomic physics and quantum phenomena.
 E605659 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: CUA | Statement: [MIT–Harvard Center for Ultracold Atoms, abbreviation, CUA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CUA
Context triple: [MIT–Harvard Center for Ultracold Atoms, abbreviation, CUA]
  • A. CUA
    CUA is the ICAO airline designator for China United Airlines, a Chinese domestic carrier based in Beijing.
  • B. UCA
    UCA is a Jesuit-run Central American University in Managua, Nicaragua, known for its strong emphasis on social justice, human rights, and critical scholarship.
  • C. UCA
    UCA is the Unicode Collation Algorithm, a Unicode standard that defines a language-independent method for ordering and comparing Unicode text.
  • D. ACU
    ACU is the standard camouflage field uniform worn by soldiers of the United States Army.
  • E. ACU
    ACU (the Association of Commonwealth Universities) is an international network of higher education institutions from Commonwealth countries that promotes collaboration, academic excellence, and educational development.
  • 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: CUA
Triple: [MIT–Harvard Center for Ultracold Atoms, abbreviation, CUA]
Generated description
CUA is a joint MIT–Harvard research center focused on the study of ultracold atomic physics and quantum phenomena.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CUA
Target entity description: CUA is a joint MIT–Harvard research center focused on the study of ultracold atomic physics and quantum phenomena.
  • A. CUA
    CUA is the ICAO airline designator for China United Airlines, a Chinese domestic carrier based in Beijing.
  • B. UCA
    UCA is a Jesuit-run Central American University in Managua, Nicaragua, known for its strong emphasis on social justice, human rights, and critical scholarship.
  • C. UCA
    UCA is the Unicode Collation Algorithm, a Unicode standard that defines a language-independent method for ordering and comparing Unicode text.
  • D. ACU
    ACU (the Association of Commonwealth Universities) is an international network of higher education institutions from Commonwealth countries that promotes collaboration, academic excellence, and educational development.
  • 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_69c688048ec8819093a47f7d332e12ec completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6adc05da88190b402085954cec8e0 completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d532b5348190986cf30883ed147b completed March 27, 2026, 7:06 p.m.
NEDg Description generation batch_69c6d6dad26481908ac4bc0ed703091b completed March 27, 2026, 7:13 p.m.
NED2 Entity disambiguation (via description) batch_69c6d833d84c819083ffc81bda7d35d4 completed March 27, 2026, 7:19 p.m.
Created at: March 27, 2026, 1:46 p.m.