Triple
T9474954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AK Party |
E228491
|
entity |
| Predicate | hasLeaderHeldOffice |
P88319
|
FINISHED |
| Object | Prime Minister 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: Prime Minister of Turkey | Statement: [AK Party, hasLeaderHeldOffice, Prime Minister of Turkey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLeaderHeldOffice Context triple: [AK Party, hasLeaderHeldOffice, Prime Minister of Turkey]
-
A.
hasHistoricalOfficeHolder
Indicates that an office, position, or role has been held by a specific person at some point in the past.
-
B.
hasHeldOfficeType
Indicates that an entity has at some time occupied or served in a specified type or category of office or position.
-
C.
hasFormerLeader
Indicates that an entity previously held the role of leader of another entity but no longer does.
-
D.
heldPoliticalOfficeIn
Indicates that an entity served in a political office or position within a specified governmental body or jurisdiction.
-
E.
hadPrincipalLeader
Indicates that an entity was led or headed by a primary or chief leader.
- F. None of above. chosen
Provenance (4 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_69ca847162c48190b079076c9595513c |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7ff39f48819087e696c2c1ffe638 |
completed | April 1, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69cca55f01b081908dc0f12eaa45f832 |
completed | April 1, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69cca89d0f0c8190b4528990fe708fca |
completed | April 1, 2026, 5:09 a.m. |
Created at: March 30, 2026, 7:54 p.m.