Triple
T19507194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monastery of Sint Agatha |
E488052
|
entity |
| Predicate | stillInUseAsMonastery |
P136176
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Monastery of Sint Agatha, stillInUseAsMonastery, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stillInUseAsMonastery Context triple: [Monastery of Sint Agatha, stillInUseAsMonastery, true]
-
A.
containsMonastery
Indicates that one entity includes or encompasses a monastery within its boundaries or composition.
-
B.
monastery
Indicates that an entity is or functions as a monastery, typically a religious community or building where monastics live and practice.
-
C.
monasticResidence
Indicates that one entity serves as the place of residence for a monastic individual or community.
-
D.
monasteryEstablished
Indicates that a monastery was founded or formally established at a particular time, place, or by a specific agent.
-
E.
monasteryType
Indicates the specific kind or classification of a monastery in relation to its broader religious or organizational category.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e635130e708190bb3d70e1abbade2a |
completed | April 20, 2026, 2:15 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7bd25881908caa04eaef1f6718 |
completed | April 19, 2026, 4:06 p.m. |
| PDg | Predicate description generation | batch_69e5004d3a708190a1c13c8f644f3926 |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:40 p.m.