Triple
T37761102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of the Andes (Venezuela) |
E941273
|
entity |
| Predicate | hasMainCampusType |
P182813
|
FINISHED |
| Object | urban 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: urban campus | Statement: [University of the Andes (Venezuela), hasMainCampusType, urban campus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainCampusType Context triple: [University of the Andes (Venezuela), hasMainCampusType, urban campus]
-
A.
hasMainCampus
Indicates that an educational institution is primarily based at or chiefly associated with a particular campus location.
-
B.
hasMainCampusRelationship
Indicates that one entity serves as the primary or central campus location associated with another entity.
-
C.
hasPrimaryCampusSetting
chosen
Indicates that an institution’s main campus is characterized by a particular type of physical or environmental setting (e.g., urban, suburban, rural).
-
D.
hasNotableCampusType
Indicates that an institution’s campus possesses a specific, noteworthy type or characteristic (e.g., urban, rural, residential) that distinguishes it.
-
E.
isMajorCampusFor
Indicates that a particular campus serves as the primary or main campus for a given institution or organization.
- 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_69f76ee3251881909bb4451aad50752b |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:19 p.m.