Triple

T4873126
Position Surface form Disambiguated ID Type / Status
Subject University of Magallanes E109133 entity
Predicate shortName P43 FINISHED
Object UMAG
UMAG is the commonly used abbreviation for the University of Magallanes, a public Chilean university located in the Magallanes and Chilean Antarctic Region.
 E476694 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: UMAG | Statement: [University of Magallanes, shortName, UMAG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UMAG
Context triple: [University of Magallanes, shortName, UMAG]
  • A. UM
    UM is the commonly used abbreviation for the University of Miami, a private research university located in Coral Gables, Florida.
  • B. UM
    UM is the regional vehicle registration code used for the district of Uckermark in the German state of Brandenburg.
  • C. UM
    UM is a public research university in Winnipeg, Canada, known as the University of Manitoba.
  • D. UM
    UM is a public research university in Oxford, Mississippi, commonly known as "Ole Miss" and recognized for its academic programs and SEC athletics.
  • E. UM
    UM is the stock ticker symbol for MRU, the Canadian food and pharmacy retail company Metro Inc.
  • 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: UMAG
Triple: [University of Magallanes, shortName, UMAG]
Generated description
UMAG is the commonly used abbreviation for the University of Magallanes, a public Chilean university located in the Magallanes and Chilean Antarctic Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UMAG
Target entity description: UMAG is the commonly used abbreviation for the University of Magallanes, a public Chilean university located in the Magallanes and Chilean Antarctic Region.
  • A. UM
    UM is the commonly used abbreviation for the University of Miami, a private research university located in Coral Gables, Florida.
  • B. UM
    UM is the regional vehicle registration code used for the district of Uckermark in the German state of Brandenburg.
  • C. UM
    UM is a public research university in Winnipeg, Canada, known as the University of Manitoba.
  • D. UM
    UM is a public research university in Oxford, Mississippi, commonly known as "Ole Miss" and recognized for its academic programs and SEC athletics.
  • E. UM
    UM is the stock ticker symbol for MRU, the Canadian food and pharmacy retail company Metro Inc.
  • 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_69bd440d96a48190b0c87069adef2af1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d9fa0b08190ab1fc7ec395dca37 completed March 20, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67f5b51c8190a8114450084d2b13 completed March 21, 2026, 9:42 a.m.
NEDg Description generation batch_69be69ed67f4819094656680ac3a174a completed March 21, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_69be6a368ca88190b57fdf7c8c9f4e60 completed March 21, 2026, 9:51 a.m.
Created at: March 20, 2026, 1:27 p.m.