Triple
T14911619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Democracity |
E371274
|
entity |
| Predicate | scaleModelOf |
P116650
|
FINISHED |
| Object | futuristic metropolis |
—
|
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: futuristic metropolis | Statement: [Democracity, scaleModelOf, futuristic metropolis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scaleModelOf Context triple: [Democracity, scaleModelOf, futuristic metropolis]
-
A.
EiffelTowerReplicaScale
Indicates that one structure is a replica of the Eiffel Tower at a specified scale relative to the original.
-
B.
modelSize
Indicates the quantitative measure of how large or complex a model is, typically in terms of parameters, layers, or memory footprint.
-
C.
areaScale
Indicates a proportional relationship where one area value is a scaled (enlarged or reduced) version of another by a specific factor.
-
D.
scaleDefinition
Indicates that an entity specifies the parameters, structure, or measurement system used to define a particular scale.
-
E.
isSmallScale
Indicates that the related activity, operation, or entity occurs on a limited or minor scale, involving relatively small size, scope, or capacity.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded61d75008190b6f9a1a38137836f |
completed | April 15, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69de9a52ba988190a26e268b4ea083ea |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a4d8dc8190a4c0841c20f2875f |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:26 a.m.