Triple
T16524012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DGS |
E401388
|
entity |
| Predicate | regimeTypeServed |
P32481
|
FINISHED |
| Object | authoritarian dictatorship |
—
|
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: authoritarian dictatorship | Statement: [DGS, regimeTypeServed, authoritarian dictatorship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regimeTypeServed Context triple: [DGS, regimeTypeServed, authoritarian dictatorship]
-
A.
regimeType
Indicates the form or system of governance under which an entity (such as a state or organization) is ruled or administered.
-
B.
regimeServed
chosen
Indicates that an entity (typically a person or organization) served under, worked for, or was aligned with a particular political or governing regime.
-
C.
servesType
Indicates that one entity provides, offers, or is used to deliver a particular type, category, or kind of thing or service.
-
D.
isTypicallyServedFor
Indicates that one item is most commonly or customarily served as a meal or course for the other (e.g., a dish typically served for breakfast, lunch, or dinner).
-
E.
divisionTypeServedWith
Indicates the type of organizational division that is served or supported in conjunction with a given entity or service.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32ed2622c8190b6429a49ca92284a |
completed | April 18, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69e296995d388190b88ebe189dce890d |
completed | April 17, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:14 a.m.