Triple
T30947646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chilandar Monastery |
E788440
|
entity |
| Predicate | monasticCommunityType |
P37070
|
FINISHED |
| Object | male 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: male monastery | Statement: [Chilandar Monastery, monasticCommunityType, male monastery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monasticCommunityType Context triple: [Chilandar Monastery, monasticCommunityType, male monastery]
-
A.
monasteryType
chosen
Indicates the specific kind or classification of a monastery in relation to its broader religious or organizational category.
-
B.
monasticResidence
Indicates that one entity serves as the place of residence for a monastic individual or community.
-
C.
hasMonasticCommunities
Indicates that an entity possesses, hosts, or is associated with one or more monastic communities.
-
D.
monasteryOrder
Indicates that a monastery belongs to, follows, or is affiliated with a particular religious order.
-
E.
typeOfMonasticSupport
Indicates the specific kind or form of support that is provided to or for a monastic community.
- 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_69f224c180f88190ad177372ee02b7e2 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6a0ea04888190ac3a813b603bcb5c |
completed | May 3, 2026, 1:12 a.m. |
| PD | Predicate disambiguation | batch_69f69fe463248190aa78128abeab1183 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 29, 2026, 8:53 p.m.