Triple

T6756611
Position Surface form Disambiguated ID Type / Status
Subject Ciudad Universitaria E154476 entity
Predicate shortName P43 FINISHED
Object CU
CU is the commonly used abbreviation for Ciudad Universitaria, a major university campus area in Spanish-speaking regions.
 E617829 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: CU | Statement: [Ciudad Universitaria, shortName, CU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CU
Context triple: [Ciudad Universitaria, shortName, CU]
  • A. CU
    CU is the common abbreviation for Chulalongkorn University, a leading public research university in Bangkok, Thailand.
  • B. CU
    CU is the common abbreviation for the Christian Union, a Christian student organization found at many universities.
  • C. CU
    CU is the two-letter ISO 3166-1 alpha-2 country code assigned to Cuba.
  • D. UCE
    UCE is a major public university in Quito, Ecuador, recognized as one of the country’s oldest and most important higher education institutions.
  • E. UC
    UC is the commonly used abbreviation for Universal Credit, the United Kingdom’s main welfare benefit for people on a low income or out of work.
  • 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: CU
Triple: [Ciudad Universitaria, shortName, CU]
Generated description
CU is the commonly used abbreviation for Ciudad Universitaria, a major university campus area in Spanish-speaking regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CU
Target entity description: CU is the commonly used abbreviation for Ciudad Universitaria, a major university campus area in Spanish-speaking regions.
  • A. CU
    CU is the two-letter ISO 3166-1 alpha-2 country code assigned to Cuba.
  • B. CU
    CU is the common abbreviation for Chulalongkorn University, a leading public research university in Bangkok, Thailand.
  • C. CU
    CU is the common abbreviation for the Christian Union, a Christian student organization found at many universities.
  • D. UCE
    UCE is a major public university in Quito, Ecuador, recognized as one of the country’s oldest and most important higher education institutions.
  • E. UC
    UC is the final generation of the Holden Torana, a compact Australian car produced in the late 1970s.
  • 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_69c6880fd5808190be684854081e27dd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1f5ab0881908619b835b9f068d4 completed March 27, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712aa0b148190955c58af69849cc4 completed March 27, 2026, 11:28 p.m.
NEDg Description generation batch_69c713f70c1081909e92162af352cf94 completed March 27, 2026, 11:34 p.m.
NED2 Entity disambiguation (via description) batch_69c71492198081908b9bf1717ddbfb42 completed March 27, 2026, 11:36 p.m.
Created at: March 27, 2026, 2:11 p.m.