Triple
T33113284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bodevan Cash |
E847385
|
entity |
| Predicate | appliesToCollege |
P24869
|
FINISHED |
| Object | multiple Ivy League universities |
—
|
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: multiple Ivy League universities | Statement: [Bodevan Cash, appliesToCollege, multiple Ivy League universities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesToCollege Context triple: [Bodevan Cash, appliesToCollege, multiple Ivy League universities]
-
A.
connectsToCollege
chosen
Indicates a relationship where an entity has a direct link, affiliation, or pathway to a college.
-
B.
isInCollege
Indicates that a person is currently enrolled as a student at a college or university.
-
C.
servesCollege
Indicates that one entity provides services or support to a college as its client or beneficiary.
-
D.
numberOfColleges
Indicates the quantity of colleges associated with a given entity.
-
E.
hasCollegeType
Indicates that a college or educational institution is classified as having a specific type or category (e.g., public, private, community, technical).
- 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_69f3495751a081909850af5843da40dc |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fef5cf8da881908260ec633830375d |
completed | May 9, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69fef455e40481909861c82007b79bc0 |
completed | May 9, 2026, 8:46 a.m. |
Created at: May 1, 2026, 1:27 a.m.