Triple
T22358444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 Turkish coup d'état attempt |
E552716
|
entity |
| Predicate | governmentNarrative |
P147895
|
FINISHED |
| Object | coup orchestrated by Fethullah Gülen |
—
|
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: coup orchestrated by Fethullah Gülen | Statement: [2016 Turkish coup d'état attempt, governmentNarrative, coup orchestrated by Fethullah Gülen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentNarrative Context triple: [2016 Turkish coup d'état attempt, governmentNarrative, coup orchestrated by Fethullah Gülen]
-
A.
governmentOutcome
Indicates the result, consequence, or effect produced by a government’s decisions, actions, or policies.
-
B.
governmentalCore
Indicates that something serves as a central, essential, or foundational part of a government or governmental system.
-
C.
governmentAction
Indicates actions, decisions, or interventions carried out by a government or its agencies in relation to other entities.
-
D.
governmentCategory
Indicates the type or classification of a government associated with an entity.
-
E.
inGovernment
Indicates that an entity holds a position or role within a governmental body or institution.
- 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_69e11e4a0ad08190a385b4d343cf6524 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157d1a87c8190a3e195cfbbb0d64f |
completed | April 29, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69e7300c20088190a59e5bf9e70384f3 |
completed | April 21, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e7342ce08c8190bc0a7085f4a952e7 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 8:44 p.m.