Triple
T10426256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Urbana |
E245796
|
entity |
| Predicate | hasUniversityCampusArea |
P93522
|
FINISHED |
| Object | campus of University of Illinois at Urbana–Champaign |
—
|
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: campus of University of Illinois at Urbana–Champaign | Statement: [City of Urbana, hasUniversityCampusArea, campus of University of Illinois at Urbana–Champaign]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUniversityCampusArea Context triple: [City of Urbana, hasUniversityCampusArea, campus of University of Illinois at Urbana–Champaign]
-
A.
campusArea
Indicates that one entity is the physical area or spatial extent of a campus associated with another entity.
-
B.
campusSize
Indicates the physical extent or scale of a campus, typically measured in area or capacity.
-
C.
hasCollegeCampus
Indicates that an institution or organization possesses or is associated with a specific college campus as a physical or organizational site.
-
D.
hasCampusOn
Indicates that an institution or organization maintains a campus located on a specified geographic area or site.
-
E.
hasPublicUniversityCampus
Indicates that a public university maintains or operates a campus at the specified location.
- F. None of above. chosen
Provenance (4 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea48cb348190ad4432f263300592 |
completed | April 7, 2026, 11:28 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb9d3648190aaabed901f22a8c0 |
completed | April 7, 2026, 10:43 a.m. |
| PDg | Predicate description generation | batch_69d4e91de3088190ae89cbb12fb29db8 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 12:12 p.m.