Triple
T209354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UCLA Network Measurement Center |
E4679
|
entity |
| Predicate | hasStudentResearchersFrom |
P48
|
FINISHED |
| Object | UCLA graduate programs in computer science |
—
|
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: UCLA graduate programs in computer science | Statement: [UCLA Network Measurement Center, hasStudentResearchersFrom, UCLA graduate programs in computer science]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStudentResearchersFrom Context triple: [UCLA Network Measurement Center, hasStudentResearchersFrom, UCLA graduate programs in computer science]
-
A.
hasStudents
chosen
Indicates that an entity (such as a class, school, or teacher) is associated with one or more students.
-
B.
hasAcademicStaff
Indicates that an institution or organization employs or is associated with one or more academic staff members.
-
C.
studiedBy
Indicates that a subject (such as a field, topic, or object) is examined, researched, or learned by an agent (such as a person or group).
-
D.
hasNobelLaureatesAffiliated
Indicates that one entity has Nobel Prize laureates formally associated or connected with it (e.g., as members, staff, or alumni).
-
E.
conductsResearchAt
Indicates that a subject carries out research activities at a specified institution, organization, or location.
- 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_69a25737567c81908f9c505300239181 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25e8b9b908190b69a3f0594b95f7e |
completed | Feb. 28, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69a25b4e3c2881908d83e8218aa9f2d9 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:51 a.m.