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.