Triple
T36886009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International School of Geneva |
E911610
|
entity |
| Predicate | studentNationalities |
P157502
|
FINISHED |
| Object | over 100 nationalities |
—
|
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: over 100 nationalities | Statement: [International School of Geneva, studentNationalities, over 100 nationalities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studentNationalities Context triple: [International School of Geneva, studentNationalities, over 100 nationalities]
-
A.
studentNationality
chosen
Indicates that a student has a particular nationality or country of citizenship.
-
B.
userNationality
Indicates that a user has a specific national affiliation or citizenship.
-
C.
nationalityInWorld
Indicates that an entity has a specific national affiliation or citizenship within the world context.
-
D.
nationalityOrGroup
Indicates that an entity belongs to, is associated with, or is identified as a member of a particular nation, ethnic group, or cultural community.
-
E.
targetNationality
Indicates that one entity has the specified nationality as its intended or designated target.
- 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_69f76e8335908190b77e7e11d0e80820 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fd6e0b0c819096411a65074c848f |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf7890008190a8bc355ff2d61c86 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:13 p.m.