Triple
T16390772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galatasaray University |
E398044
|
entity |
| Predicate | upgradedToUniversity |
P23912
|
FINISHED |
| Object | 1994 |
—
|
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: 1994 | Statement: [Galatasaray University, upgradedToUniversity, 1994]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: upgradedToUniversity Context triple: [Galatasaray University, upgradedToUniversity, 1994]
-
A.
upgradedToCollege
Indicates that an entity has advanced or transitioned from a lower educational level or status to a college-level status or institution.
-
B.
gainedUniversityStatus
chosen
Indicates that an institution has officially achieved recognition or designation as a university.
-
C.
statusAtUniversity
Indicates the role or standing that an individual holds at a particular university (such as student, faculty, or staff) at a given time.
-
D.
college
Indicates that an entity is a college-level educational institution attended by or associated with another entity.
-
E.
university
Indicates that an educational institution of higher learning is associated with or attended by a given entity.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e326425c8081908cacffcfa8c7386b |
completed | April 18, 2026, 6:35 a.m. |
| PD | Predicate disambiguation | batch_69e226f94dd48190b7b8e0e983738a67 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:08 a.m.