Triple

T7553857
Position Surface form Disambiguated ID Type / Status
Subject University of Montenegro E178607 entity
Predicate shortName P43 FINISHED
Object UCG
UCG is the official abbreviation for the University of Montenegro, the largest and most prominent public university in Montenegro.
 E672342 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: UCG | Statement: [University of Montenegro, shortName, UCG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UCG
Context triple: [University of Montenegro, shortName, UCG]
  • A. USG
    USG is a regional higher education center in Rockville, Maryland that hosts programs from multiple University System of Maryland institutions on a single shared campus.
  • B. USG
    USG is the acronym commonly used for the University System of Georgia, the public higher education system for the state of Georgia in the United States.
  • C. UCH
    UCH is a leading public research university in Santiago, Chile, renowned for its academic excellence and significant influence on the country’s intellectual and cultural life.
  • D. CU
    CU is the two-letter ISO 3166-1 alpha-2 country code assigned to Cuba.
  • E. CU
    CU is the common abbreviation for Chulalongkorn University, a leading public research university in Bangkok, Thailand.
  • 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: UCG
Triple: [University of Montenegro, shortName, UCG]
Generated description
UCG is the official abbreviation for the University of Montenegro, the largest and most prominent public university in Montenegro.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UCG
Target entity description: UCG is the official abbreviation for the University of Montenegro, the largest and most prominent public university in Montenegro.
  • A. USG
    USG is a regional higher education center in Rockville, Maryland that hosts programs from multiple University System of Maryland institutions on a single shared campus.
  • B. USG
    USG is the acronym commonly used for the University System of Georgia, the public higher education system for the state of Georgia in the United States.
  • C. UCH
    UCH is a leading public research university in Santiago, Chile, renowned for its academic excellence and significant influence on the country’s intellectual and cultural life.
  • D. CU
    CU is the two-letter ISO 3166-1 alpha-2 country code assigned to Cuba.
  • E. CU
    CU is the common abbreviation for Chulalongkorn University, a leading public research university in Bangkok, Thailand.
  • 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_69c69f2da22c8190a50942ac20af70e8 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8b990148190b26a3a262cf538b3 completed March 27, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f3602008190aa91cf55e43bdf30 completed March 28, 2026, 9:59 p.m.
NEDg Description generation batch_69c85432ff8c81909f5ec837fd1f6743 completed March 28, 2026, 10:20 p.m.
NED2 Entity disambiguation (via description) batch_69c854bbb9c08190bc151cdcef74ee54 completed March 28, 2026, 10:22 p.m.
Created at: March 27, 2026, 3:49 p.m.