Triple
T30769925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katuic peoples |
E783491
|
entity |
| Predicate | religionContact |
P52189
|
FINISHED |
| Object | Buddhism |
—
|
NE NERFINISHED |
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: Buddhism | Statement: [Katuic peoples, religionContact, Buddhism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religionContact Context triple: [Katuic peoples, religionContact, Buddhism]
-
A.
religiousTarget
Indicates that an action, policy, or behavior is directed at someone or something specifically because of their religion or religious affiliation.
-
B.
subjectReligion
chosen
Indicates that the subject is associated with, practices, or adheres to a particular religion.
-
C.
hostReligion
Indicates that an entity organizes, accommodates, or provides a venue for a particular religious group, event, or practice.
-
D.
connectsReligiousSite
Indicates a relationship where something serves as a link, route, or association between one religious site and another.
-
E.
orderReligion
Indicates that one entity prescribes, organizes, or regulates the religious practices, beliefs, or structure of another entity.
- 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_69f224b1519081908b9db003fd2073e0 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe6739d4dc8190ae7505c089bbac29 |
completed | May 8, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69fe6541dffc81909c66a61ba69f38fc |
completed | May 8, 2026, 10:35 p.m. |
Created at: April 29, 2026, 8:40 p.m.