Triple
T6381135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Maryland Eastern Shore |
E143582
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
UMES
UMES is a public historically Black land-grant university located in Princess Anne, Maryland, known for its programs in agriculture, marine and environmental science, and hospitality management.
|
E589496
|
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: UMES | Statement: [University of Maryland Eastern Shore, abbreviation, UMES]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UMES Context triple: [University of Maryland Eastern Shore, abbreviation, UMES]
-
A.
UM
UM is the commonly used abbreviation for Maastricht University, a public research university located in Maastricht, the Netherlands.
-
B.
UM
UM is the stock ticker symbol for MRU, the Canadian food and pharmacy retail company Metro Inc.
-
C.
UM
UM is the commonly used abbreviation for the University of Miami, a private research university located in Coral Gables, Florida.
-
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: UMES Triple: [University of Maryland Eastern Shore, abbreviation, UMES]
Generated description
UMES is a public historically Black land-grant university located in Princess Anne, Maryland, known for its programs in agriculture, marine and environmental science, and hospitality management.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UMES Target entity description: UMES is a public historically Black land-grant university located in Princess Anne, Maryland, known for its programs in agriculture, marine and environmental science, and hospitality management.
-
A.
UM
UM is the commonly used abbreviation for Maastricht University, a public research university located in Maastricht, the Netherlands.
-
B.
UM
UM is the stock ticker symbol for MRU, the Canadian food and pharmacy retail company Metro Inc.
-
C.
UM
UM is the commonly used abbreviation for the University of Miami, a private research university located in Coral Gables, Florida.
-
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_69c008dac1ec81909cef8157ccd69962 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0685385948190938b67bff671072b |
completed | March 22, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62daf2f408190923d67bd0222d2bb |
completed | March 27, 2026, 7:11 a.m. |
| NEDg | Description generation | batch_69c63321ec688190ae527f6ae9be5791 |
completed | March 27, 2026, 7:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c633e823548190950cc50e360e4ef6 |
completed | March 27, 2026, 7:38 a.m. |
Created at: March 22, 2026, 4:33 p.m.