Triple
T5275179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parmalim |
E119355
|
entity |
| Predicate | religiousTextType |
P61691
|
FINISHED |
| Object | oral tradition |
—
|
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: oral tradition | Statement: [Parmalim, religiousTextType, oral tradition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousTextType Context triple: [Parmalim, religiousTextType, oral tradition]
-
A.
religiousTextOf
Indicates that one entity is a religious text that is sacred to, foundational for, or primarily associated with another entity (such as a religion, denomination, or faith community).
-
B.
religiousTextTradition
Indicates that a religious text is associated with, originates from, or is authoritative within a particular religious tradition or denomination.
-
C.
religiousElement
Indicates that something is a component, aspect, or feature associated with a religion or religious practice.
-
D.
religiousTextRole
Indicates the specific role or function that a religious text has in relation to a person, group, practice, or tradition.
-
E.
religiousTextLanguageOf
Indicates that a particular language is the language in which a given religious text is written or primarily expressed.
- 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_69bd446c38e081908cdaf113bdf86790 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7c23bed88190b406dee21957d823 |
completed | March 20, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69bd77c83d1c8190bd8b9616113d413c |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd782108bc8190be68ccce09cfd3ef |
completed | March 20, 2026, 4:38 p.m. |
Created at: March 20, 2026, 1:51 p.m.