Triple
T35874972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basilica of All Nations |
E1037331
|
entity |
| Predicate | floorBuiltOver |
P183935
|
FINISHED |
| Object | remains of earlier churches |
—
|
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: remains of earlier churches | Statement: [Basilica of All Nations, floorBuiltOver, remains of earlier churches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: floorBuiltOver Context triple: [Basilica of All Nations, floorBuiltOver, remains of earlier churches]
-
A.
floorAbove
Indicates that one floor is located directly above another floor in a vertical arrangement.
-
B.
floorBelow
Indicates that one entity is located on the floor directly beneath another entity within the same structure.
-
C.
floorHeight
Indicates the vertical elevation or level at which a particular floor is positioned within a structure.
-
D.
floorStart
Indicates the floor or level at which something begins or is initiated.
-
E.
hasFloor
Indicates that one entity possesses, includes, or is associated with a particular floor or level within a structure.
- 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_69f76e1e701c8190a4990d4978ce4fe6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aaabb58c8190bf81673608ecfb6e |
completed | May 3, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f7aa33e0488190a135166bb67e1118 |
completed | May 3, 2026, 8:04 p.m. |
Created at: May 3, 2026, 4:06 p.m.