Triple
T13108594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Mechanical Engineering (University of Michigan) |
E310911
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
UM ME
UM ME is the Department of Mechanical Engineering at the University of Michigan, a leading academic unit known for research and education in mechanical and related engineering fields.
|
E1021764
|
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: UM ME | Statement: [Department of Mechanical Engineering (University of Michigan), hasAbbreviation, UM ME]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UM ME Context triple: [Department of Mechanical Engineering (University of Michigan), hasAbbreviation, UM ME]
-
A.
UMMM
UMMM is the ICAO airport code assigned to Minsk-1 Airport in Minsk, Belarus.
-
B.
UMM
UMM is a private Islamic university in Malang, Indonesia, affiliated with the Muhammadiyah organization and known for its wide range of academic programs.
-
C.
UMM
UMM is a small public liberal arts college campus of the University of Minnesota system located in Morris, Minnesota.
-
D.
UM
UM is the commonly used abbreviation for the University of Miami, a private research university located in Coral Gables, Florida.
-
E.
UM
UM is the regional vehicle registration code used for the district of Uckermark in the German state of Brandenburg.
- 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: UM ME Triple: [Department of Mechanical Engineering (University of Michigan), hasAbbreviation, UM ME]
Generated description
UM ME is the Department of Mechanical Engineering at the University of Michigan, a leading academic unit known for research and education in mechanical and related engineering fields.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UM ME Target entity description: UM ME is the Department of Mechanical Engineering at the University of Michigan, a leading academic unit known for research and education in mechanical and related engineering fields.
-
A.
UMMM
UMMM is the ICAO airport code assigned to Minsk-1 Airport in Minsk, Belarus.
-
B.
UMM
UMM is a private Islamic university in Malang, Indonesia, affiliated with the Muhammadiyah organization and known for its wide range of academic programs.
-
C.
UMM
UMM is a small public liberal arts college campus of the University of Minnesota system located in Morris, Minnesota.
-
D.
UM
UM is the commonly used abbreviation for the University of Miami, a private research university located in Coral Gables, Florida.
-
E.
UM
UM is the regional vehicle registration code used for the district of Uckermark in the German state of Brandenburg.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817ce07881909ec552bf861ac175 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e27bd8fc8190a81130b7cb3a8bd8 |
completed | May 3, 2026, 5:51 a.m. |
| NEDg | Description generation | batch_69f6e37023d48190ba6a0b790ed23370 |
completed | May 3, 2026, 5:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6e40a13c8819084daf9b77b46a181 |
completed | May 3, 2026, 5:58 a.m. |
Created at: April 9, 2026, 9:05 p.m.