Triple
T13721651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Church of the Beatitudes |
E329051
|
entity |
| Predicate | hasMosaicFloor |
P44624
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Church of the Beatitudes, hasMosaicFloor, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMosaicFloor Context triple: [Church of the Beatitudes, hasMosaicFloor, true]
-
A.
hasMosaic
chosen
Indicates that one entity possesses, contains, or is decorated with a mosaic.
-
B.
hasMosaicsBy
Indicates that something contains or features mosaics that were created by a specified agent or creator.
-
C.
hasFloor
Indicates that one entity possesses, includes, or is associated with a particular floor or level within a structure.
-
D.
hasFloorRole
Indicates that an entity holds a specific role, function, or responsibility associated with a particular floor or level within a building or facility.
-
E.
hasFloorMaterial
Indicates that an entity’s floor is made of, covered with, or constructed from a specified material.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f3b46481909ceedfa78e9ca92b |
completed | April 14, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69dbbe92d77c81908e0244cffb7f78c5 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:55 p.m.