Triple
T2624666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atelier of Carolus-Duran |
E59087
|
entity |
| Predicate | studentDemographic |
P7875
|
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: [Atelier of Carolus-Duran, studentDemographic, international students]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studentDemographic Context triple: [Atelier of Carolus-Duran, studentDemographic, international students]
-
A.
studentPopulationLevel
Indicates the relative size or magnitude of the student population associated with an entity.
-
B.
hasDemographic
chosen
Indicates that an entity is associated with or characterized by a particular demographic group or attribute.
-
C.
studentBodySize
Indicates the total number of students that make up the student body of an institution or group.
-
D.
demographics
Indicates the relationship of providing or characterizing statistical information about a population’s attributes, such as age, gender, income, or education.
-
E.
demographicsLabel
Indicates the categorical demographic group or segment that an entity is associated with or classified under.
- 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_69ab4ac558388190962492cd2e1b0ce6 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abdaca581881908fe8d3d820f839b7 |
completed | March 7, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_69abd80f48888190afdf7e3e042157d0 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:50 p.m.