Triple
T13501335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tello Obelisk |
E320897
|
entity |
| Predicate | iconographicComplexity |
P110669
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Tello Obelisk, iconographicComplexity, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: iconographicComplexity Context triple: [Tello Obelisk, iconographicComplexity, high]
-
A.
iconographicForm
Indicates the specific visual or symbolic representation that an entity takes within an image or artwork.
-
B.
iconographyFeature
Indicates a visual element or motif that appears as a distinct feature within a work’s iconography.
-
C.
iconographyType
Indicates the specific kind or category of visual symbolism or imagery used to represent something.
-
D.
iconographyStatus
Indicates the current condition, completeness, or interpretive state of an entity’s iconographic representation.
-
E.
iconographicVariant
Indicates that one representation is an alternative or variant visual depiction of another within an iconographic tradition or system.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf50f4a48190a44fc537b78c32fd |
completed | April 12, 2026, 2:42 p.m. |
| PD | Predicate disambiguation | batch_69dbae06061881909a6a6032e0507587 |
completed | April 12, 2026, 2:36 p.m. |
| PDg | Predicate description generation | batch_69dbaecc98cc8190829f5be759c4f1e3 |
completed | April 12, 2026, 2:40 p.m. |
Created at: April 9, 2026, 9:43 p.m.