Triple
T24356362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Znamensky Monastery |
E613932
|
entity |
| Predicate | hasGenderOfMonasticCommunity |
P113101
|
FINISHED |
| Object | female monastic community (historically) |
—
|
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: female monastic community (historically) | Statement: [Znamensky Monastery, hasGenderOfMonasticCommunity, female monastic community (historically)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGenderOfMonasticCommunity Context triple: [Znamensky Monastery, hasGenderOfMonasticCommunity, female monastic community (historically)]
-
A.
hasGenderInSomeTraditions
Indicates that, in at least some cultural, religious, or historical traditions, the subject is regarded as having a specific gender.
-
B.
hasGenderDivisions
Indicates that something is organized, classified, or separated into groups based on gender.
-
C.
hasGenderConvention
Indicates that there is an established or customary way of assigning or expressing gender within a given context, system, or culture.
-
D.
genderOfMembers
chosen
Indicates the gender or genders associated with the members of a group or organization.
-
E.
hasGenderOfPerson
Indicates that a person is associated with a specific gender classification.
- 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_69e2d7dfe7f08190b7a1f3a36483ab05 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29348b3448190aa0e87c0eb891d66 |
completed | April 29, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f287bb1b2c81909c2e7fcc392ad143 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2 a.m.