Triple
T4685983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramakrishna Math |
E103921
|
entity |
| Predicate | hasMonasticMembers |
P9815
|
FINISHED |
| Object | monks |
—
|
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: monks | Statement: [Ramakrishna Math, hasMonasticMembers, monks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMonasticMembers Context triple: [Ramakrishna Math, hasMonasticMembers, monks]
-
A.
hasMonasticName
Indicates that an entity possesses a specific name adopted or assigned within a monastic or religious order.
-
B.
hasMemberChurch
Indicates that a particular church is a constituent member of a larger religious organization, denomination, or church body.
-
C.
hasClergy
chosen
Indicates that an organization or institution possesses or is served by members of the clergy.
-
D.
containsMonastery
Indicates that one entity includes or encompasses a monastery within its boundaries or composition.
-
E.
monasteryAffiliation
Indicates a relationship where an entity is formally associated with, belongs to, or is under the authority of 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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd66059bfc8190885d26d05dd38df1 |
completed | March 20, 2026, 3:21 p.m. |
| PD | Predicate disambiguation | batch_69bd6219da948190bbbb50f08573ab4d |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:16 p.m.