Triple
T3716442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Revelation at Mount Sinai |
E81541
|
entity |
| Predicate | languageOfRevelation |
P29087
|
FINISHED |
| Object | Hebrew |
—
|
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: Hebrew | Statement: [Revelation at Mount Sinai, languageOfRevelation, Hebrew]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfRevelation Context triple: [Revelation at Mount Sinai, languageOfRevelation, Hebrew]
-
A.
revelationLanguage
chosen
Indicates that a revelation, message, or disclosure is expressed or communicated in a particular language.
-
B.
revelationAngel
Indicates that an angel is the one who delivers or mediates a divine revelation to someone or about something.
-
C.
revelationScripture
Indicates that a scripture is the medium or content through which a revelation is communicated or expressed.
-
D.
orderOfRevelation
Indicates the sequence in which multiple related items, events, or pieces of information are revealed or disclosed.
-
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_69ad8b1a81588190b3f27a5483bb610e |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc9cf77dc819098979094172d82d1 |
completed | March 8, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69adc0436e508190909ec4a3e8443aef |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:33 p.m.