Triple
T30496146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peoples' Democratic Party |
E776010
|
entity |
| Predicate | accusedByGovernmentOf |
P9856
|
FINISHED |
| Object | links to Kurdistan Workers' Party |
—
|
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: links to Kurdistan Workers' Party | Statement: [Peoples' Democratic Party, accusedByGovernmentOf, links to Kurdistan Workers' Party]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: accusedByGovernmentOf Context triple: [Peoples' Democratic Party, accusedByGovernmentOf, links to Kurdistan Workers' Party]
-
A.
accusedOf
chosen
Indicates that one entity has formally alleged or claimed that another entity committed a specific wrongdoing or offense.
-
B.
accusedIn
Indicates that a person or entity is formally charged with wrongdoing in a particular case, proceeding, or context.
-
C.
guiltyOf
Indicates that an entity has been judged or determined to have committed a particular offense, crime, or wrongful act.
-
D.
wronglyAccusedBy
Indicates that one entity has falsely or unjustly accused another entity of wrongdoing.
-
E.
convictedOf
Indicates that a person or entity has been found guilty of committing a specified offense or crime through a formal legal process.
- 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_69f22498c5d481908aaea89e6fab8280 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6877beac8819088e18617985213a8 |
completed | May 2, 2026, 11:23 p.m. |
| PD | Predicate disambiguation | batch_69f67e42d6688190b60e91d2c388c555 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:14 p.m.