Triple
T25999037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fen-Edebiyat Fakültesi |
E646567
|
entity |
| Predicate | kurumOdağı |
P159865
|
FINISHED |
| Object | insani 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: insani bilimler eğitimi | Statement: [Fen-Edebiyat Fakültesi, kurumOdağı, insani bilimler eğitimi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: kurumOdağı Context triple: [Fen-Edebiyat Fakültesi, kurumOdağı, insani bilimler eğitimi]
-
A.
kurumOdağı
chosen
Indicates a focus on or orientation toward an institution, organization, or corporate entity in the context of the described relationship or action.
-
B.
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.
-
C.
KaumodakiOf
Indicates that one entity is the Kaumodaki (the specific mace/weapon) associated with, possessed by, or emblematic of another entity.
-
D.
currentKatikkiro
Indicates that the subject currently holds the position or role of Katikkiro (prime minister or chief minister) of a given polity.
-
E.
rok
Indicates a generic, unspecified relationship or interaction between entities labeled by this predicate.
- 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_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 22, 2026, 8:58 a.m.