Triple
T25999036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fen-Edebiyat Fakültesi |
E646567
|
entity |
| Predicate | kurumOdağı |
P159865
|
FINISHED |
| Object | temel bilimler eğitimi |
—
|
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: temel bilimler eğitimi | Statement: [Fen-Edebiyat Fakültesi, kurumOdağı, temel bilimler eğitimi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: kurumOdağı Context triple: [Fen-Edebiyat Fakültesi, kurumOdağı, temel bilimler eğitimi]
-
A.
kokudaka
Indicates a relationship where a landholding or domain is assigned a value based on its assessed agricultural productivity or tax yield, typically measured in koku.
-
B.
KaumodakiOf
Indicates that one entity is the Kaumodaki (the specific mace/weapon) associated with, possessed by, or emblematic of another entity.
-
C.
currentKatikkiro
Indicates that the subject currently holds the position or role of Katikkiro (prime minister or chief minister) of a given polity.
-
D.
rok
Indicates a generic, unspecified relationship or interaction between entities labeled by this predicate.
-
E.
aka
Indicates that one entity is also known by an alternative name or alias that refers to the same thing.
- F. None of above. chosen
Provenance (4 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_69f5aff889988190ad10bcf1a280f717 |
completed | May 2, 2026, 8:04 a.m. |
| PDg | Predicate description generation | batch_69f5f6b32a8881909baa0db57b80d56a |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 22, 2026, 8:58 a.m.