Triple
T22186269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salii |
E548304
|
entity |
| Predicate | numberOfMembersPerCollege |
P146751
|
FINISHED |
| Object | 12 |
—
|
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: 12 | Statement: [Salii, numberOfMembersPerCollege, 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMembersPerCollege Context triple: [Salii, numberOfMembersPerCollege, 12]
-
A.
affiliatedCollegeCount
Indicates the number of colleges that are formally affiliated with a given entity.
-
B.
numberOfUniversities
Indicates the quantity of universities associated with a given entity.
-
C.
memberCollege
Indicates that a college is a constituent or affiliated unit within a larger organization, such as a university or educational system.
-
D.
numberOfFaculties
Indicates the total count of faculties associated with a given entity.
-
E.
numberOfResidentialColleges
Indicates the quantity of residential colleges 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_69e11e3e0c7c8190b30d278845e2497e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aa8f178819094d1556df5aee5b9 |
completed | April 28, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69e71b48576c8190a8e93738fd9cfda5 |
completed | April 21, 2026, 6:38 a.m. |
| PDg | Predicate description generation | batch_69e7222e74248190a2d3671049f117f2 |
completed | April 21, 2026, 7:07 a.m. |
Created at: April 16, 2026, 8:35 p.m.