Triple
T10667964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Maine at Machias |
E251406
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | UMM |
E404923
|
NE FINISHED |
How this triple was built (2 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: UMM | Statement: [University of Maine at Machias, abbreviation, UMM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UMM Context triple: [University of Maine at Machias, abbreviation, UMM]
-
A.
UMM
chosen
UMM is a small public liberal arts college campus of the University of Minnesota system located in Morris, Minnesota.
-
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.
UMMM
UMMM is the ICAO airport code assigned to Minsk-1 Airport in Minsk, Belarus.
-
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 a public research university in Winnipeg, Canada, known as the University of Manitoba.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6f860790c81909c2c1d3c489ec5b4 |
completed | April 9, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a9ceea08190944354d127f2c73b |
completed | April 10, 2026, 10:33 p.m. |
Created at: April 8, 2026, 9:08 p.m.