Triple
T25999022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fen-Edebiyat Fakültesi |
E646567
|
entity |
| Predicate | bağlıOlduğuÜniversite |
P152022
|
FINISHED |
| Object | İstanbul Teknik Üniversitesi |
—
|
NE NERFINISHED |
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: İstanbul Teknik Üniversitesi | Statement: [Fen-Edebiyat Fakültesi, bağlıOlduğuÜniversite, İstanbul Teknik Üniversitesi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bağlıOlduğuÜniversite Context triple: [Fen-Edebiyat Fakültesi, bağlıOlduğuÜniversite, İstanbul Teknik Üniversitesi]
-
A.
hostUniversity
chosen
Indicates that a university serves as the primary institution hosting, organizing, or providing the setting for a given entity or activity (such as a program, event, or affiliation).
-
B.
university
Indicates that an educational institution of higher learning is associated with or attended by a given entity.
-
C.
undergraduateInstitutionOf
Indicates that one entity is the institution where the other entity completed or pursued their undergraduate studies.
-
D.
universityName
Indicates the official name associated with a particular university.
-
E.
degreeGrantingInstitution
Indicates the institution that formally awarded a particular academic degree to an 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_69e77e88cb8481908da31d4a00661f55 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f605720be48190b1b64ecdccfaec17 |
completed | May 2, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69f4a10728e08190bc0b96c558740f51 |
completed | May 1, 2026, 12:48 p.m. |
Created at: April 22, 2026, 8:58 a.m.