Triple
T8208749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hauser Global Law School Program |
E191757
|
entity |
| Predicate | bringsToCampus |
P81500
|
FINISHED |
| Object | leading legal scholars |
—
|
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: leading legal scholars | Statement: [Hauser Global Law School Program, bringsToCampus, leading legal scholars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bringsToCampus Context triple: [Hauser Global Law School Program, bringsToCampus, leading legal scholars]
-
A.
campus
Indicates that an entity is located on, associated with, or taking place within a particular campus.
-
B.
campus2
Indicates that one entity is a secondary or additional campus location associated with another primary campus or institution.
-
C.
campusLife
Indicates the overall experience, activities, and social environment associated with being part of a particular campus or educational institution.
-
D.
campus1
Indicates a relationship where an entity is identified as a campus or is located on/associated with a particular campus.
-
E.
campusUse
Indicates that something is intended for, associated with, or occurring in the use or activities of a campus or campus community.
- 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_69ca82c7f3e08190857bf1fc63b2a10c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb76dc784881908e1f63ac907cdd01 |
completed | March 31, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69cb36ad01ac81909609b15f6a6c8581 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb4ab5162c8190bddd696078689895 |
completed | March 31, 2026, 4:16 a.m. |
Created at: March 30, 2026, 5:43 p.m.