Triple
T31438651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 23rd Parliament of Turkey |
E802006
|
entity |
| Predicate | mainGovernmentPartyLeader |
P43370
|
FINISHED |
| Object | Recep Tayyip Erdoğan |
—
|
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: Recep Tayyip Erdoğan | Statement: [23rd Parliament of Turkey, mainGovernmentPartyLeader, Recep Tayyip Erdoğan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainGovernmentPartyLeader Context triple: [23rd Parliament of Turkey, mainGovernmentPartyLeader, Recep Tayyip Erdoğan]
-
A.
partyGovernmentLeader
chosen
Indicates that the person is the leader of a political party that is currently forming or heading the government.
-
B.
politicalPartyLeader
Indicates that one entity serves as the leader or head of a specified political party.
-
C.
majorParty4Leader
Indicates that the subject is the leader of a fourth major political party in a given political system or context.
-
D.
hadHeadOfGovernmentFromParty
Indicates that an entity had a head of government who was a member of a specified political party.
-
E.
governmentLeader
Indicates that one entity serves as the primary political head or chief executive authority of the other entity (typically a state, region, or governmental body).
- 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_69f348c475348190bf579ca858eec77c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a5f71b2c8190aade8a83f465be0c |
completed | May 3, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69f69fe66df08190958558d63ee623d9 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 30, 2026, 9:03 p.m.