Triple
T31407795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Democracy and Progress Party |
E801178
|
entity |
| Predicate | hasFormerAffiliationOfLeader |
P192921
|
FINISHED |
| Object | Justice and Development Party |
—
|
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: Justice and Development Party | Statement: [Democracy and Progress Party, hasFormerAffiliationOfLeader, Justice and Development Party]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormerAffiliationOfLeader Context triple: [Democracy and Progress Party, hasFormerAffiliationOfLeader, Justice and Development Party]
-
A.
hasFormerLeader
Indicates that an entity previously held the role of leader of another entity but no longer does.
-
B.
hasFormerAffiliationOfCreativeLeader
Indicates that an entity was previously an organization or group with which a creative leader (e.g., director, artist, designer) was formally affiliated.
-
C.
hasFormerChiefExecutive
Indicates that an entity previously held the role of chief executive for another entity.
-
D.
hadPrincipalLeader
Indicates that an entity was led or headed by a primary or chief leader.
-
E.
hadLeadershipFrom
Indicates that one entity received leadership, guidance, or direction from another entity.
- 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_69f348c0dd648190bf2fd7642f78eb06 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fd32848ea88190a71e6df402bbb30e |
completed | May 8, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69fd2d7e95588190991d5f21e25155df |
completed | May 8, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69fd328298ac8190b6bd5ded7dca270d |
completed | May 8, 2026, 12:46 a.m. |
Created at: April 30, 2026, 8:34 p.m.