Triple
T35593998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ankara University |
E1028576
|
entity |
| Predicate | researchUniversity |
P22791
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Ankara University, researchUniversity, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: researchUniversity Context triple: [Ankara University, researchUniversity, true]
-
A.
isResearchUniversity
chosen
Indicates that an institution functions primarily as a research-focused university, emphasizing the creation of new knowledge alongside advanced education.
-
B.
university
Indicates that an educational institution of higher learning is associated with or attended by a given entity.
-
C.
researchCenter
Indicates that one entity functions as a research center associated with, operated by, or focused on the other entity.
-
D.
publicResearchUniversityPrecursorOf
Indicates that a public research university served as an institutional predecessor or foundational entity leading to the establishment or evolution of another institution.
-
E.
researchValue
Indicates that something is considered useful, important, or relevant for research or scholarly investigation.
- 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_69f76e0598dc8190a6a093e904b9aa70 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79ec355048190af30123ceb6efa2b |
completed | May 3, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:05 p.m.