Triple
T15705552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crveni Otok |
E380698
|
entity |
| Predicate | historicalBuildingType |
P19823
|
FINISHED |
| Object | monastery |
—
|
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: monastery | Statement: [Crveni Otok, historicalBuildingType, monastery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalBuildingType Context triple: [Crveni Otok, historicalBuildingType, monastery]
-
A.
historicalStructure
chosen
Indicates that the subject is a structure recognized for its historical significance or heritage value.
-
B.
typeOfBuildingRestored
Indicates that a particular type of building has undergone restoration or renovation.
-
C.
historicLocationType
Indicates the specific kind or category of a place based on its historical significance or role.
-
D.
heritageType
Indicates the classification of an entity’s cultural or natural heritage category or type within a heritage framework.
-
E.
monumentType
Indicates the specific kind or category of monument that an entity is classified as.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0051d639481909a10614e8f83e659 |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:45 a.m.