Triple
T26349374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osmanlı'dan Günümüze Ortadoğu |
E662860
|
entity |
| Predicate | bağlıOlduğuDisiplin |
P592
|
FINISHED |
| Object | tarih |
—
|
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: tarih | Statement: [Osmanlı'dan Günümüze Ortadoğu, bağlıOlduğuDisiplin, tarih]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bağlıOlduğuDisiplin Context triple: [Osmanlı'dan Günümüze Ortadoğu, bağlıOlduğuDisiplin, tarih]
-
A.
associatedWithDiscipline
chosen
Indicates that an entity has a relevant connection or involvement with a particular academic, professional, or thematic discipline.
-
B.
disciplineCode
Indicates the specific field, subject area, or branch of study/classification to which an entity is assigned or categorized.
-
C.
typeDiscipline
Indicates that an entity is associated with, categorized under, or characterized by a particular discipline or field of study.
-
D.
parentDiscipline
Indicates that one discipline is the broader, higher-level field from which another, more specialized discipline derives or is categorized.
-
E.
supportsDiscipline
Indicates that one entity provides assistance, resources, or endorsement that helps sustain or advance a particular discipline.
- 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_69ee8130fc44819094e5ab1da201cd7b |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60fa9dc9c8190b2501a3bc23eabfe |
completed | May 2, 2026, 2:52 p.m. |
| PD | Predicate disambiguation | batch_69f602d2ec748190ae95154f34c7878f |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 26, 2026, 10:44 p.m.