Triple
T18404058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harlaxton College |
E450071
|
entity |
| Predicate | primaryStudentBodyNationality |
P113232
|
FINISHED |
| Object | American |
—
|
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: American | Statement: [Harlaxton College, primaryStudentBodyNationality, American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryStudentBodyNationality Context triple: [Harlaxton College, primaryStudentBodyNationality, American]
-
A.
primaryStudentBody
Indicates that one entity serves as the main group of enrolled students associated with an educational institution or program.
-
B.
countryOfCitizenshipOfMostStudents
chosen
Indicates the country in which the largest number of the students hold citizenship.
-
C.
primaryNationality
Indicates the main national affiliation or citizenship that most strongly characterizes an entity among possibly multiple nationalities.
-
D.
primaryStudentType
Indicates the main or most characteristic type or category of student associated with an entity.
-
E.
userNationality
Indicates that a user has a specific national affiliation or citizenship.
- 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e5195509cc8190bd4e91adb9b4a0ce |
completed | April 19, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_69e469bf7f74819096a01173493412c2 |
completed | April 19, 2026, 5:35 a.m. |
Created at: April 10, 2026, 10:46 a.m.