Triple
T9864837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Maine System |
E239805
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | UMS |
E239805
|
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: UMS | Statement: [University of Maine System, abbreviation, UMS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UMS Context triple: [University of Maine System, abbreviation, UMS]
-
A.
UMS
chosen
UMS is the public university system that oversees multiple campuses and educational institutions across the state of Maine.
-
B.
UMS
UMS is a public university system in the U.S. state of Missouri that oversees multiple campuses, including the University of Missouri in Columbia.
-
C.
UMI
UMI is the three-letter ISO 3166-1 alpha-3 country code assigned to Kingman Reef, an uninhabited U.S. territory in the central Pacific Ocean.
-
D.
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.
-
E.
UMM
UMM is a private Islamic university in Malang, Indonesia, affiliated with the Muhammadiyah organization and known for its wide range of academic programs.
- 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_69ca84e7506c819095cbde4ff16512bb |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3ba7f288190a15ebec2cc3112c4 |
completed | April 2, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e44dc0b8819082294a479299814e |
completed | April 5, 2026, 4:25 a.m. |
Created at: March 30, 2026, 8:36 p.m.