Triple
T26361633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | View of the Forum in Rome |
E660222
|
entity |
| Predicate | depictsStructure |
P1581
|
FINISHED |
| Object | Roman temples |
—
|
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: Roman temples | Statement: [View of the Forum in Rome, depictsStructure, Roman temples]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsStructure Context triple: [View of the Forum in Rome, depictsStructure, Roman temples]
-
A.
showsStructure
Indicates that one entity visually or conceptually presents the internal organization, arrangement, or composition of another entity.
-
B.
depicts
chosen
Indicates that one entity visually represents, portrays, or shows another entity.
-
C.
displayStructure
Indicates that one entity presents or reveals the internal organization, layout, or arrangement of another entity.
-
D.
depictsView
Indicates that one entity visually represents or portrays the view, scene, or perspective of another entity.
-
E.
depictsClass
Indicates that one entity visually represents or portrays a particular class or category of entities.
- 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_69ee8126d52c8190bc0b34337c2c9aa8 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f65aa07c048190a5df30d53d8f0cf5 |
completed | May 2, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 26, 2026, 10:52 p.m.