Triple
T2975311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sopoćani Monastery |
E80379
|
entity |
| Predicate | hasMainChurchType |
P31566
|
FINISHED |
| Object | katholikon |
—
|
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: katholikon | Statement: [Sopoćani Monastery, hasMainChurchType, katholikon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainChurchType Context triple: [Sopoćani Monastery, hasMainChurchType, katholikon]
-
A.
hasChurch
Indicates that a place or entity possesses, contains, or is associated with a church.
-
B.
hasCathedralDenomination
Indicates the religious denomination with which a cathedral is affiliated or to which it belongs.
-
C.
hasMainCathedral
Indicates that an entity possesses or is associated with a primary cathedral that serves as its main ecclesiastical center.
-
D.
hasReligiousInstitutionType
chosen
Indicates that an entity is associated with, or classified by, a specific type of religious institution.
-
E.
hasParishType
Indicates that an entity is associated with or classified by a specific type or category of parish.
- 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_69ad8b14ffe881908ffed62f9595c867 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad998ad5308190a012ec4940eb46cb |
completed | March 8, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69ad96105a708190a9ec4838cbcb1207 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:58 p.m.