Triple
T4550453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Babson College |
E110148
|
entity |
| Predicate | rankingRecognition |
P10762
|
FINISHED |
| Object | consistently ranked highly for entrepreneurship by U.S. News & World Report |
—
|
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: consistently ranked highly for entrepreneurship by U.S. News & World Report | Statement: [Babson College, rankingRecognition, consistently ranked highly for entrepreneurship by U.S. News & World Report]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankingRecognition Context triple: [Babson College, rankingRecognition, consistently ranked highly for entrepreneurship by U.S. News & World Report]
-
A.
rankingPoints
Indicates the number of points assigned to an entity based on its position or performance in a ranking or competition.
-
B.
rankingType
Indicates the specific basis or method by which items are ordered or ranked relative to one another.
-
C.
rankSignificance
Indicates how important or influential one entity is relative to others within a specified context or ordering.
-
D.
rankingCategory
chosen
Indicates the classification or type of ranking under which an entity is evaluated or ordered.
-
E.
rankGrade
Indicates the grade or level assigned to an entity within a ranking or evaluation system.
- 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_69bd4412524c8190be5bcc9ddee91848 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57f5a0a081909977ccbb8aba633c |
completed | March 20, 2026, 2:21 p.m. |
| PD | Predicate disambiguation | batch_69bd5223423c81908317351b58cff5f5 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:05 p.m.