Triple

T25999053
Position Surface form Disambiguated ID Type / Status
Subject Fen-Edebiyat Fakültesi E646567 entity
Predicate kurumTipi P161675 FINISHED
Object fakülte 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: fakülte | Statement: [Fen-Edebiyat Fakültesi, kurumTipi, fakülte]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: kurumTipi
Context triple: [Fen-Edebiyat Fakültesi, kurumTipi, fakülte]
  • A. kurumOdağı
    Indicates a focus on or orientation toward an institution, organization, or corporate entity in the context of the described relationship or action.
  • B. kapsam
    Indicates that one entity includes, covers, or encompasses another within its scope or range.
  • C. kitType
    Indicates the specific category or configuration of a kit associated with an entity or activity.
  • D. 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.
  • E. curriculumType
    Indicates the classification or category of curriculum associated with an educational program or course.
  • 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_69f6200ac60481909895c61d050b1338 completed May 2, 2026, 4:02 p.m.
PD Predicate disambiguation batch_69f61b3a8ae0819090189fbd8eb19f2f completed May 2, 2026, 3:41 p.m.
PDg Predicate description generation batch_69f61f109ef48190873bfe18638d2046 completed May 2, 2026, 3:58 p.m.
Created at: April 22, 2026, 8:58 a.m.