Triple

T14162070
Position Surface form Disambiguated ID Type / Status
Subject OCP Group E350971 entity
Predicate hasSubsidiary P254 FINISHED
Object UM6P
UM6P (Mohammed VI Polytechnic University) is a Moroccan research-focused university known for its emphasis on science, technology, innovation, and sustainable development, particularly in fields related to mining, agriculture, and industrial engineering.
E1084226 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: UM6P | Statement: [OCP Group, hasSubsidiary, UM6P]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UM6P
Context triple: [OCP Group, hasSubsidiary, UM6P]
  • A. UM
    UM is the IATA airline designator assigned to Air Zimbabwe, the national carrier of Zimbabwe.
  • B. UM
    UM is the commonly used abbreviation for the University of Miami, a private research university located in Coral Gables, Florida.
  • C. UM
    UM is the regional vehicle registration code used for the district of Uckermark in the German state of Brandenburg.
  • D. UM
    UM is a public research university in Winnipeg, Canada, known as the University of Manitoba.
  • E. UM
    UM is a public research university in Oxford, Mississippi, commonly known as "Ole Miss" and recognized for its academic programs and SEC athletics.
  • 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: UM6P
Triple: [OCP Group, hasSubsidiary, UM6P]
Generated description
UM6P (Mohammed VI Polytechnic University) is a Moroccan research-focused university known for its emphasis on science, technology, innovation, and sustainable development, particularly in fields related to mining, agriculture, and industrial engineering.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: UM6P
Target entity description: UM6P (Mohammed VI Polytechnic University) is a Moroccan research-focused university known for its emphasis on science, technology, innovation, and sustainable development, particularly in fields related to mining, agriculture, and industrial engineering.
  • A. UM
    UM is the IATA airline designator assigned to Air Zimbabwe, the national carrier of Zimbabwe.
  • B. UM
    UM is the commonly used abbreviation for the University of Miami, a private research university located in Coral Gables, Florida.
  • C. UM
    UM is the regional vehicle registration code used for the district of Uckermark in the German state of Brandenburg.
  • D. UM
    UM is a public research university in Winnipeg, Canada, known as the University of Manitoba.
  • E. UM
    UM is a public research university in Oxford, Mississippi, commonly known as "Ole Miss" and recognized for its academic programs and SEC athletics.
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de613a4a2081908fd51bf4b4d82b6c completed April 14, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7f166988190a96d01fb4bd1438e completed May 7, 2026, 8:37 p.m.
NEDg Description generation batch_69fd05f31d9c81908b12befa499fae08 completed May 7, 2026, 9:36 p.m.
NED2 Entity disambiguation (via description) batch_69fd068196fc8190b0c5620c754d2a5c completed May 7, 2026, 9:39 p.m.
Created at: April 10, 2026, 12:59 a.m.