Triple
T6586700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EABIC |
E159241
|
entity |
| Predicate | religiousTextInterpretation |
P34765
|
FINISHED |
| Object | Old Testament-centered |
—
|
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: Old Testament-centered | Statement: [EABIC, religiousTextInterpretation, Old Testament-centered]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousTextInterpretation Context triple: [EABIC, religiousTextInterpretation, Old Testament-centered]
-
A.
theologicalInterpretation
Indicates a relationship where an event, text, or phenomenon is understood or explained through religious or doctrinal beliefs and principles.
-
B.
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).
-
C.
religiousTextTradition
chosen
Indicates that a religious text is associated with, originates from, or is authoritative within a particular religious tradition or denomination.
-
D.
religiousTextType
Indicates that one entity is a religious text and specifies the type or category of that religious text in relation to the other entity.
-
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.
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_69c688366ce8819083f8883983c0df92 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6c07cdf048190945ca5810fb1de88 |
completed | March 27, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c6acfb462481909cb7aff5af4bca9d |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:55 p.m.