Triple
T966456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mehmed II |
E20847
|
entity |
| Predicate | transformed |
P4076
|
FINISHED |
| Object | Ottoman Empire into a major regional power |
—
|
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: Ottoman Empire into a major regional power | Statement: [Mehmed II, transformed, Ottoman Empire into a major regional power]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transformed Context triple: [Mehmed II, transformed, Ottoman Empire into a major regional power]
-
A.
transformedWith
Indicates that one entity has been changed, altered, or converted into a different state, form, or representation through the use or application of another specified entity (such as a tool, method, or process).
-
B.
relocated
Indicates that an entity has moved or been moved from one location or position to another.
-
C.
shaped
chosen
Indicates that one entity has given form, contour, or structure to another entity or outcome.
-
D.
convertedFrom
Indicates that one entity has been transformed or changed in form, type, or representation from another entity.
-
E.
variant
Indicates that one entity is an alternative form, version, or variation of 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_69a493b33d2c81909c52c369d3ca8436 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b43412488190b68e33d2b36a0ba3 |
completed | March 1, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a42c1481908d940cbe0aefdd3b |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.