Triple
T5543970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Altneuland |
E145360
|
entity |
| Predicate | depictsFormOfGovernment |
P15721
|
FINISHED |
| Object | liberal democracy |
—
|
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: liberal democracy | Statement: [Altneuland, depictsFormOfGovernment, liberal democracy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsFormOfGovernment Context triple: [Altneuland, depictsFormOfGovernment, liberal democracy]
-
A.
governmentType
Indicates the form or system of governance under which an entity (such as a country or organization) is organized and ruled.
-
B.
typeOfGovernmentAfter
Indicates the form of government that exists or is established in a place following a specified event or time period.
-
C.
depictsPoliticalEntity
Indicates that one entity visually represents or portrays a political entity in some form.
-
D.
politicalForm
chosen
Indicates the type or structure of governance or political organization that characterizes an entity.
-
E.
opposedFormOfGovernment
Indicates that one entity holds a stance against, or is in opposition to, the form of government represented by the other 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_69c008fa64888190adae56c8f9ea4031 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fcad7d88190b83bb4ecb3b34bfd |
completed | March 22, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69c01b0e72f08190bf705d8fe1639401 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:35 p.m.