Triple
T26849547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bizans Müesseselerinin Osmanlı Müesseselerine Tesiri |
E676020
|
entity |
| Predicate | yaklaşım |
P160623
|
FINISHED |
| Object | karşılaştırmalı kurum tarihi |
—
|
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: karşılaştırmalı kurum tarihi | Statement: [Bizans Müesseselerinin Osmanlı Müesseselerine Tesiri, yaklaşım, karşılaştırmalı kurum tarihi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yaklaşım Context triple: [Bizans Müesseselerinin Osmanlı Müesseselerine Tesiri, yaklaşım, karşılaştırmalı kurum tarihi]
-
A.
yaklaşım
chosen
Indicates a manner or method by which one entity approaches, deals with, or addresses another entity or situation.
-
B.
approche
Indicates that one entity moves or positions itself closer to another entity or reference point.
-
C.
approaches
Indicates that one entity moves closer in position or state to another entity or reference point.
-
D.
usedToApproach
Indicates that one entity employed another entity as a means or method to move closer to or reach a target entity or location.
-
E.
controlledApproachTo
Indicates a deliberate, regulated, or carefully managed way of proceeding toward or dealing with another 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_69eee9b9d7708190a15d7485709ae981 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f6247480cc8190a887eedaeb94615c |
completed | May 2, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69f623a7539c8190b71797f583da9f63 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 5:15 a.m.