Triple
T21628062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manipal |
E533754
|
entity |
| Predicate | hasInternationalStudentPopulation |
P16422
|
FINISHED |
| Object | significant |
—
|
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: significant | Statement: [Manipal, hasInternationalStudentPopulation, significant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInternationalStudentPopulation Context triple: [Manipal, hasInternationalStudentPopulation, significant]
-
A.
hasInternationalStudents
chosen
Indicates that an institution or organization includes students who come from countries other than the one in which it is located.
-
B.
internationalStudentsShare
Indicates the proportion or percentage of a population or group that consists of international students.
-
C.
countryOfCitizenshipOfMostStudents
Indicates the country in which the largest number of the students hold citizenship.
-
D.
countryOfOriginOfStudents
Indicates the country from which the students originate or have their primary national affiliation.
-
E.
hasDiverseStudentBody
Indicates that an educational institution’s student population includes a wide range of backgrounds, characteristics, or identities.
- 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_69e0c464fba881908d0ff2ac80511ce1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef5214e72c8190af109089f58fca4f |
completed | April 27, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69e69677b9c48190bf81f795aa8ad74e |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:34 p.m.