Triple
T26849517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osmanlı Devleti’nin Kuruluşu |
E676019
|
entity |
| Predicate | eleAldığıKonu |
P160440
|
FINISHED |
| Object | Osmanlı siyasi teşkilatlanması |
—
|
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: Osmanlı siyasi teşkilatlanması | Statement: [Osmanlı Devleti’nin Kuruluşu, eleAldığıKonu, Osmanlı siyasi teşkilatlanması]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eleAldığıKonu Context triple: [Osmanlı Devleti’nin Kuruluşu, eleAldığıKonu, Osmanlı siyasi teşkilatlanması]
-
A.
eleAldığıKavram
Indicates a relationship where an entity receives, adopts, or takes on a particular concept or notion.
-
B.
eleAlır
Indicates a taking or receiving action performed by an individual or entity.
-
C.
odakKonu
chosen
Indicates a focus-on relationship where one entity is the main subject or topic that another entity concentrates on or addresses.
-
D.
موضوع_رئيس
Indicates that one entity serves as the main or primary subject/topic in relation to another entity.
-
E.
topicOfDialogue
Indicates that a particular subject or theme is the main focus of a dialogue or conversation between entities.
- 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_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a731508190bb0c8c2462eba224 |
completed | May 2, 2026, 7:33 p.m. |
Created at: April 27, 2026, 5:15 a.m.