Triple
T721428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Confessio of Saint Peter |
E14624
|
entity |
| Predicate | locatedBeneath |
P10157
|
FINISHED |
| Object | high altar 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: high altar of St. Peter's Basilica | Statement: [Confessio of Saint Peter, locatedBeneath, high altar of St. Peter's Basilica]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedBeneath Context triple: [Confessio of Saint Peter, locatedBeneath, high altar of St. Peter's Basilica]
-
A.
locatedUnder
chosen
Indicates that one entity is positioned directly or generally beneath another entity in space.
-
B.
locatedAtBaseOf
Indicates that one entity is positioned at or near the bottom or lowest supporting part of another entity.
-
C.
existsBelow
Indicates that at least one instance of an entity is located or occurs at a lower level or position relative to another entity.
-
D.
subductsBeneath
Indicates that one entity moves downward and underneath another, typically as part of a convergent or overriding interaction.
-
E.
locatedAlong
Indicates that one entity is situated adjacent to, or running beside, the length or course of another linear feature (such as a road, river, or railway).
- 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.