Triple
T755621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victorian architecture |
E15546
|
entity |
| Predicate | styleTendsTo |
P19247
|
FINISHED |
| Object | visual complexity |
—
|
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: visual complexity | Statement: [Victorian architecture, styleTendsTo, visual complexity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: styleTendsTo Context triple: [Victorian architecture, styleTendsTo, visual complexity]
-
A.
styleInFull
Indicates that something is presented, written, or expressed in its complete, unabbreviated, or fully detailed form.
-
B.
relatedStyle
Indicates that one style is associated with, similar to, or derived from another style in some relevant way.
-
C.
structureStyle
Indicates the architectural or design style characterizing how a structure is built or formed.
-
D.
performanceStyle
Indicates the manner or style in which an action, work, or performance is carried out or presented.
-
E.
spreadingStyle
Indicates how an entity extends, disperses, or propagates from its source across a medium, area, or set of targets.
- 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_69a493599a0081908da65f3407af1ef2 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a6693cbc8190a167e12a896d7ce7 |
completed | March 1, 2026, 8:49 p.m. |
| PD | Predicate disambiguation | batch_69a4a50348088190873a1446db657a78 |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a62b497081909503c8d30c7ce1db |
completed | March 1, 2026, 8:48 p.m. |
Created at: March 1, 2026, 7:37 p.m.