Triple
T23372611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schulpforta |
E593513
|
entity |
| Predicate | monasteryFoundedAround |
P52045
|
FINISHED |
| Object | 1137 |
—
|
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: 1137 | Statement: [Schulpforta, monasteryFoundedAround, 1137]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monasteryFoundedAround Context triple: [Schulpforta, monasteryFoundedAround, 1137]
-
A.
monasteryEstablished
chosen
Indicates that a monastery was founded or formally established at a particular time, place, or by a specific agent.
-
B.
placeOfMonasticFoundation
Indicates the location where a monastic community or monastery was originally established or founded.
-
C.
numberOfMonasteriesFounded
Indicates the total count of monasteries that a given entity has established or founded.
-
D.
monasteryDedicatedTo
Indicates that a monastery is formally devoted or consecrated to a particular deity, saint, religious figure, or sacred concept.
-
E.
founderOfMonastery
Indicates that a person established or founded a particular monastery.
- 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a3af45ec8190a32aa4e5f04f6756 |
completed | April 29, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69f061c7aaa48190a58ce93f87155ffc |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:33 p.m.