Triple
T4157372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panopticon; or, The Inspection-House |
E91448
|
entity |
| Predicate | proposedStructureShape |
P1464
|
FINISHED |
| Object | circular |
—
|
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: circular | Statement: [Panopticon; or, The Inspection-House, proposedStructureShape, circular]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: proposedStructureShape Context triple: [Panopticon; or, The Inspection-House, proposedStructureShape, circular]
-
A.
shaped
Indicates that one entity has given form, contour, or structure to another entity or outcome.
-
B.
originalStructureType
Indicates the type or category of the structure that an entity originally had before any changes or transformations.
-
C.
shape
chosen
Indicates that one entity has a particular geometric or physical form characterized by the other entity.
-
D.
usedStructure
Indicates that one entity makes use of, relies on, or operates through a particular structure (physical, logical, or organizational) to perform its function or action.
-
E.
viaStructure
Indicates that one entity is connected to or accessed through a particular structural element or medium.
- 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_69aed9626ebc8190a39de631788bea3e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0321eee88190871c1d4bf44a5007 |
completed | March 9, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69af018dc90c8190a754b1bfbc802e80 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:44 p.m.