Triple
T18478597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Global 30 Project |
E451498
|
entity |
| Predicate | numberOfSelectedUniversities |
P131807
|
FINISHED |
| Object | 13 |
—
|
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: 13 | Statement: [Global 30 Project, numberOfSelectedUniversities, 13]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSelectedUniversities Context triple: [Global 30 Project, numberOfSelectedUniversities, 13]
-
A.
numberOfUniversities
Indicates the quantity of universities associated with a given entity.
-
B.
numberOfColleges
Indicates the quantity of colleges associated with a given entity.
-
C.
numberOfUniversitySeats
Indicates the total count of available seats or positions offered by a university in a given context.
-
D.
hasUniversities
Indicates that an entity possesses, contains, or is associated with one or more universities.
-
E.
numberOfCampuses
Indicates the total count of campuses associated with a given entity.
- F. None of above. chosen
Provenance (4 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53065e8388190bb216dae89f8cf75 |
completed | April 19, 2026, 7:43 p.m. |
| PD | Predicate disambiguation | batch_69e469d671088190b619de96ea6f92ab |
completed | April 19, 2026, 5:36 a.m. |
| PDg | Predicate description generation | batch_69e46d2aa72c8190a40854a7a52081e2 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:35 a.m.