Triple
T7620282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Červený Kláštor |
E172473
|
entity |
| Predicate | monasterySecularized |
P27496
|
FINISHED |
| Object | 18th century |
—
|
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: 18th century | Statement: [Červený Kláštor, monasterySecularized, 18th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monasterySecularized Context triple: [Červený Kláštor, monasterySecularized, 18th century]
-
A.
monastery
Indicates that an entity is or functions as a monastery, typically a religious community or building where monastics live and practice.
-
B.
monasteryType
Indicates the specific kind or classification of a monastery in relation to its broader religious or organizational category.
-
C.
monasteryEstablished
Indicates that a monastery was founded or formally established at a particular time, place, or by a specific agent.
-
D.
dissolvedAsMonastery
chosen
Indicates that an institution ceased to function as a monastery, typically through formal dissolution or suppression of its monastic status.
-
E.
sisterMonastery
Indicates a formal sister-monastery relationship between two monastic institutions, typically involving mutual support, affiliation, or shared spiritual ties.
- 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_69c699506b308190826894dab1d9ea86 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fe73ff7c8190ab1218d97b37416d |
completed | March 27, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e725a88190b1f05dd224f7f4f2 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:55 p.m.