Triple
T3150874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orono, Maine |
E65873
|
entity |
| Predicate | universityCampusType |
P110
|
FINISHED |
| Object | flagship campus of the University of Maine System |
—
|
LITERAL 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: flagship campus of the University of Maine System | Statement: [Orono, Maine, universityCampusType, flagship campus of the University of Maine System]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: universityCampusType Context triple: [Orono, Maine, universityCampusType, flagship campus of the University of Maine System]
-
A.
campusType
chosen
Indicates the classification or category of a campus based on its type (e.g., main, satellite, urban, rural).
-
B.
campusAreaType
Indicates the classification of a campus area according to its type or functional category.
-
C.
cityCampus
Indicates that a campus is located within or associated with a particular city.
-
D.
campus
Indicates that an entity is located on, associated with, or taking place within a particular campus.
-
E.
universityOrganizationType
Indicates the specific organizational category or classification of a university (such as public, private, or other institutional type).
- F. None of above.
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_69ad8584485081909ed529e890cadc4a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5c145248190843ff3b1701074a1 |
completed | March 8, 2026, 4:37 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfa3d9081908425aa636bb9b897 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:05 p.m.