Triple
T2763468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boyana Church |
E61276
|
entity |
| Predicate | frescoLayerCount |
P6578
|
FINISHED |
| Object | three |
—
|
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: three | Statement: [Boyana Church, frescoLayerCount, three]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frescoLayerCount Context triple: [Boyana Church, frescoLayerCount, three]
-
A.
layerNumber
Indicates the specific position or index of a layer within an ordered stack or layered structure.
-
B.
numberOfFragmentsApprox
Indicates an approximate count of how many fragments or pieces are associated with the subject.
-
C.
layerOf
Indicates that one entity forms a distinct layer or stratum of another entity within a structured or composite whole.
-
D.
numberOfFilters
Indicates the count of filters associated with or applied to a given entity or operation.
-
E.
numberOfLevels
chosen
Indicates the total count of hierarchical layers, stages, or floors associated with an 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_69ab4b7bab6c8190a5c2efef19a8ef34 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddceb9d88190961e30d521a21552 |
completed | March 7, 2026, 8:11 a.m. |
| PD | Predicate disambiguation | batch_69abdcfc5e1c8190a5ac2c48d3eaeb0a |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:57 p.m.