Triple
T721451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Confessio of Saint Peter |
E14624
|
entity |
| Predicate | hasViewFrom |
P9787
|
FINISHED |
| Object | nave of St. Peter's Basilica |
—
|
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: nave of St. Peter's Basilica | Statement: [Confessio of Saint Peter, hasViewFrom, nave of St. Peter's Basilica]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasViewFrom Context triple: [Confessio of Saint Peter, hasViewFrom, nave of St. Peter's Basilica]
-
A.
hasView
Indicates that one entity provides a visual perspective or outlook onto another entity or scene.
-
B.
hasViewingSide
Indicates that one entity serves as the side or surface of another entity that is intended to be viewed or observed.
-
C.
viewpointFrom
chosen
Indicates a relationship where something is observed, depicted, or described from the perspective or location of a particular entity or point.
-
D.
viewOver
Indicates that one entity has a visual perspective overlooking or facing another entity, typically providing a vantage point onto it.
-
E.
viewedBy
Indicates that something has been seen, observed, or watched by a particular entity.
- 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_69a4934c753c81909b309027e48b9b3a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a58fa41c819082de2cc4e0cb2943 |
completed | March 1, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f513608190b716b939d574c292 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.