Triple
T33995608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Debre Berhan Selassie Church |
E871664
|
entity |
| Predicate | ceilingAngelFacesCountApprox |
P177796
|
FINISHED |
| Object | over 100 |
—
|
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: over 100 | Statement: [Debre Berhan Selassie Church, ceilingAngelFacesCountApprox, over 100]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ceilingAngelFacesCountApprox Context triple: [Debre Berhan Selassie Church, ceilingAngelFacesCountApprox, over 100]
-
A.
ceilingHeight
Indicates the vertical distance from the floor to the ceiling in a given space.
-
B.
floorCount
Indicates the number of floors or levels that a building or structure has.
-
C.
ceiling
Indicates that one entity is the smallest value that is greater than or equal to another value, typically representing a rounding-up operation.
-
D.
ceilingBasedOn
Indicates that one entity’s maximum limit or upper bound is determined or constrained by another entity.
-
E.
ceilingMaterial
Indicates the material from which a ceiling is constructed or finished.
- 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_69f3499f8cbc81908de6ec89fa91ea8f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f703cad27c81908186b67f1dc869a5 |
completed | May 3, 2026, 8:14 a.m. |
| PD | Predicate disambiguation | batch_69f70101ba1c819099380274e6df9a4d |
completed | May 3, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69f7017e9aec819095465a53bb871a84 |
completed | May 3, 2026, 8:04 a.m. |
Created at: May 1, 2026, 1:50 a.m.