Triple
T31871546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yaşar University |
E813613
|
entity |
| Predicate | startedEducation |
P55233
|
FINISHED |
| Object | 2002 |
—
|
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: 2002 | Statement: [Yaşar University, startedEducation, 2002]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startedEducation Context triple: [Yaşar University, startedEducation, 2002]
-
A.
educationStartTime
chosen
Indicates the point in time when an educational activity, program, or enrollment for an entity begins.
-
B.
hasEducationalStatus
Indicates that an entity possesses a particular level, state, or condition of formal education or academic attainment.
-
C.
educationAspiration
Indicates an individual's intended or desired level of education or educational achievement.
-
D.
educationLocation
Indicates the place or institution where an entity received education or underwent formal learning.
-
E.
seeksEducationFrom
Indicates that one entity pursues learning, training, or academic instruction from another entity as a source of education.
- 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_69f348ecb07481909c8f72619131b115 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ff45793d5c81909dc503ad1f714ee2 |
completed | May 9, 2026, 2:32 p.m. |
| PD | Predicate disambiguation | batch_69ff41cb0e088190a6e9b03cb20e5fad |
completed | May 9, 2026, 2:16 p.m. |
Created at: April 30, 2026, 11:54 p.m.