Triple
T26524779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | People’s Alliance |
E670657
|
entity |
| Predicate | supportsPresidentialCandidate |
P167575
|
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: [People’s Alliance, supportsPresidentialCandidate, Recep Tayyip Erdoğan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsPresidentialCandidate Context triple: [People’s Alliance, supportsPresidentialCandidate, Recep Tayyip Erdoğan]
-
A.
supportedCandidateInElection
Indicates that one entity endorsed or backed another entity as a candidate in a specific election.
-
B.
supportedByPresident
Indicates that an action, proposal, or entity receives endorsement or backing from the president.
-
C.
backedPresidentialCandidate
chosen
Indicates that an entity supported or endorsed a particular individual as their choice for president.
-
D.
partyPresidentialNomineeOf
Indicates that a person is the officially selected presidential nominee representing a particular political party.
-
E.
politicalSupporter
Indicates that one entity supports, endorses, or aligns with the political views, actions, or position 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_69eeb31ea1e08190b9ff43cf9bc25bf8 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69fea2d0a4d08190aa06aeb902a02d5a |
completed | May 9, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69fea24698348190b9b992a8e7cdbcd0 |
completed | May 9, 2026, 2:56 a.m. |
Created at: April 27, 2026, 1:31 a.m.