Triple
T21967447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taoist priest |
E542495
|
entity |
| Predicate | mayTake |
P146733
|
FINISHED |
| Object | celibacy vows |
—
|
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: celibacy vows | Statement: [Taoist priest, mayTake, celibacy vows]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayTake Context triple: [Taoist priest, mayTake, celibacy vows]
-
A.
mayPass
Indicates that one entity is permitted or authorized to move through, cross, or gain access to another entity or location.
-
B.
mayConduct
Indicates that one entity is permitted or authorized to carry out, perform, or execute a particular action, process, or operation on or with another entity.
-
C.
mayAllowUse
Indicates that one entity has the potential or permission to allow another entity to use or access something.
-
D.
mayGrant
Indicates that one entity has the authority or permission to confer, assign, or bestow a right, privilege, or resource to another entity.
-
E.
mayApply
Indicates that an entity is permitted or eligible to submit or use something (such as a rule, action, or resource) under certain conditions.
- F. None of above. chosen
Provenance (4 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1245c5d148190af2a06190ba32feb |
completed | April 28, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69e6f601f2188190893bcdde0cf58ad6 |
completed | April 21, 2026, 3:58 a.m. |
| PDg | Predicate description generation | batch_69e6fb9b75308190addc3dba7b5d5ddd |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 8:01 p.m.