Triple
T18812092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Saba Church |
E460039
|
entity |
| Predicate | formsPrincipalPartOf |
P87889
|
FINISHED |
| Object | medieval Sapara Monastery complex |
—
|
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: medieval Sapara Monastery complex | Statement: [St. Saba Church, formsPrincipalPartOf, medieval Sapara Monastery complex]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formsPrincipalPartOf Context triple: [St. Saba Church, formsPrincipalPartOf, medieval Sapara Monastery complex]
-
A.
mainPartOf
Indicates that one entity is the primary or most significant component of another entity.
-
B.
structurePartOf
chosen
Indicates that one structure is a constituent or component of a larger, encompassing structure.
-
C.
partOfType
Indicates that one entity represents a component, segment, or subset that belongs to or is included within the type or category represented by another entity.
-
D.
compositionalForm
Indicates the structural or formal composition that defines how parts are organized or combined within something.
-
E.
deltaPartOf
Indicates that one entity represents a changed, differing, or modified portion of another entity, rather than the whole.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a3dcc7d88190801d9c9202e0e411 |
completed | April 20, 2026, 3:56 a.m. |
| PD | Predicate disambiguation | batch_69e48d1b10ec8190985c6fb5766ff981 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:53 a.m.