Triple
T4969071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schwarzman Scholars program |
E111599
|
entity |
| Predicate | cohortComposition |
P2750
|
FINISHED |
| Object | international students |
—
|
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: international students | Statement: [Schwarzman Scholars program, cohortComposition, international students]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cohortComposition Context triple: [Schwarzman Scholars program, cohortComposition, international students]
-
A.
ageGroupStructure
Indicates how a population or set of entities is distributed across different age groups or age categories.
-
B.
populationClass
Indicates a categorical classification of a population based on shared characteristics, status, or demographic criteria.
-
C.
populationBasis
Indicates that a population measurement is based on, derived from, or defined with respect to a particular reference, criterion, or underlying basis.
-
D.
demographicsDescriptor
Indicates a descriptive attribute or classification that characterizes the demographic properties of an entity or group.
-
E.
populationIncludes
chosen
Indicates that a population contains or encompasses the specified individual(s) or subgroup(s) as members or elements.
- 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_69bd441a0eb481908050fa4273b19eae |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd72e49b048190bac55d9e7a6f7963 |
completed | March 20, 2026, 4:16 p.m. |
| PD | Predicate disambiguation | batch_69bd71447fe88190bb62c5e8753da7a7 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:32 p.m.