Triple
T2061482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Council of Ministers (historically) |
E45798
|
entity |
| Predicate | formedPartOf |
P29195
|
FINISHED |
| Object | executive branch of Turkey |
—
|
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: executive branch of Turkey | Statement: [Council of Ministers (historically), formedPartOf, executive branch of Turkey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formedPartOf Context triple: [Council of Ministers (historically), formedPartOf, executive branch of Turkey]
-
A.
hasPartIn
Indicates that an entity participates in or plays a role within a larger event, process, or composite entity.
-
B.
usedInPartOf
Indicates that something is utilized or plays a functional role within a specific component or subpart of a larger whole.
-
C.
usedToBePartOf
chosen
Indicates that an entity was formerly a component or member of another entity but is no longer part of it.
-
D.
hasPart
Indicates that one entity is a component, segment, or constituent part of another entity.
-
E.
partOfWorkType
Indicates that something is a component, subtype, or specific category within a broader type of work.
- 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_69a8891b38288190abd572ccad9b6928 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9d0ecf08190aec20338a6ba9911 |
completed | March 7, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69abb7ad5a7c8190b92575d6053b3fb7 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:40 p.m.