Triple
T5183492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sangeet Bhavana |
E116974
|
entity |
| Predicate | typeOfCampusEnvironment |
P16150
|
FINISHED |
| Object | residential university campus |
—
|
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: residential university campus | Statement: [Sangeet Bhavana, typeOfCampusEnvironment, residential university campus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfCampusEnvironment Context triple: [Sangeet Bhavana, typeOfCampusEnvironment, residential university campus]
-
A.
campusType
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.
isPartOfCampus
Indicates that one place, facility, or area is located within and belongs to a larger campus.
-
E.
residentialCampus
chosen
Indicates that an educational institution’s campus includes on-site housing where students live as part of the campus community.
- 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_69bd446140f08190becb93c61158f27f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd799eb90c8190b738e9478699180f |
completed | March 20, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69bd77b7e8b4819092ec3965e11f2dea |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:46 p.m.