Triple
T35211650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siyam Nikaya |
E1016694
|
entity |
| Predicate | genderOfOrdination |
P165929
|
FINISHED |
| Object | male |
—
|
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 | Statement: [Siyam Nikaya, genderOfOrdination, male]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genderOfOrdination Context triple: [Siyam Nikaya, genderOfOrdination, male]
-
A.
priesthoodGender
chosen
Indicates the gender associated with a particular priesthood role or office.
-
B.
isOrdained
Indicates that an entity has been formally conferred religious or clerical authority through an official ordination process.
-
C.
wasOrdainedAs
Indicates that an entity was formally appointed or consecrated into an official religious or ceremonial role.
-
D.
genderOfMitzvah
Indicates the gender category associated with performing or being obligated in a particular mitzvah (commandment).
-
E.
honoreeGender
Indicates the gender associated with the person who is being honored in the given context.
- 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_69f76ddf549c8190869d0af076fd2c28 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7979a073881909a4fde2558e6b6f3 |
completed | May 3, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4:02 p.m.