Triple
T26613940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moračani |
E668005
|
entity |
| Predicate | monasteryCenturyFounded |
P52045
|
FINISHED |
| Object | 13th 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: 13th century | Statement: [Moračani, monasteryCenturyFounded, 13th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monasteryCenturyFounded Context triple: [Moračani, monasteryCenturyFounded, 13th century]
-
A.
monasteryEstablished
chosen
Indicates that a monastery was founded or formally established at a particular time, place, or by a specific agent.
-
B.
monasticTraditionFoundedInYear
Indicates that a particular monastic tradition was established or came into existence in a specified year.
-
C.
numberOfMonasteriesFounded
Indicates the total count of monasteries that a given entity has established or founded.
-
D.
placeOfMonasticFoundation
Indicates the location where a monastic community or monastery was originally established or founded.
-
E.
monasteryName
Indicates the name assigned to a monastery as its identifying label.
- 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_69ee9cfe16088190a3dddd68e3c7b1ea |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f61fd623bc819091df736cf3419b99 |
completed | May 2, 2026, 4:01 p.m. |
| PD | Predicate disambiguation | batch_69f61b3d23f481908dfec27adace900a |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 2:17 a.m.