Triple
T21682231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christian churches |
E535134
|
entity |
| Predicate | mayBeMonastic |
P96138
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Christian churches, mayBeMonastic, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayBeMonastic Context triple: [Christian churches, mayBeMonastic, yes]
-
A.
wasMonkOf
Indicates that a person was a member or monk belonging to a particular religious order, monastery, or monastic community.
-
B.
monasticRequirement
Indicates that one entity imposes, specifies, or embodies a rule, obligation, or condition that must be fulfilled within a monastic or religious order.
-
C.
hasMonasticName
Indicates that an entity possesses a specific name adopted or assigned within a monastic or religious order.
-
D.
hasMonasticHistory
chosen
Indicates that an entity has a historical association with monastic life, institutions, or traditions.
-
E.
roleInMonasticism
Indicates the specific function, position, or status an entity holds within a monastic community or tradition.
- 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_69e0c469b6ec8190aee4cadd1527db91 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef96c7c6a08190bbd9a89b8a3b921b |
completed | April 27, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69e6968abfdc81909cf9e0bd72db9eca |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:43 p.m.