Triple
T26849516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osmanlı Devleti’nin Kuruluşu |
E676019
|
entity |
| Predicate | bağlantılıKişi |
P160624
|
FINISHED |
| Object | Mehmet Fuat Köprülü |
—
|
NE NERFINISHED |
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: Mehmet Fuat Köprülü | Statement: [Osmanlı Devleti’nin Kuruluşu, bağlantılıKişi, Mehmet Fuat Köprülü]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bağlantılıKişi Context triple: [Osmanlı Devleti’nin Kuruluşu, bağlantılıKişi, Mehmet Fuat Köprülü]
-
A.
ilişkiliKişi
chosen
Indicates a relationship where one person is associated or connected to another person in some relevant context.
-
B.
relationshipTarget
Indicates that an entity is the object or recipient toward which a specified relationship is directed.
-
C.
inRelationshipWith
Indicates that two entities are mutually involved in a defined personal, romantic, or partnership relationship with each other.
-
D.
relatedIdentity
Indicates that two identities are connected or associated with each other in some meaningful way, such as being alternate, linked, or otherwise contextually related.
-
E.
associatedPersonField
Indicates that there is a person linked or connected to the subject in a relevant or contextual way.
- 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_69f6383625cc8190aa223d8ef655743c |
completed | May 2, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69f63709e4848190b5cf322e06b23fb6 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 5:15 a.m.