Triple
T23934857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naaman |
E602603
|
entity |
| Predicate | sourceLanguageScripture |
P1187
|
FINISHED |
| Object | Biblical 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: Biblical Hebrew | Statement: [Naaman, sourceLanguageScripture, Biblical Hebrew]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sourceLanguageScripture Context triple: [Naaman, sourceLanguageScripture, Biblical Hebrew]
-
A.
usedScriptureTranslation
Indicates that one entity employed or relied on a particular translation of scripture in its actions, works, or communications.
-
B.
hasLanguageOfScripture
chosen
Indicates that an entity’s scriptural or sacred texts are written or expressed in a specified language.
-
C.
scriptureTextEnglish
Indicates that an entity’s associated scripture or sacred text is provided in the English language.
-
D.
scripturalLanguageName
Indicates the name of the language in which a given scripture or sacred text is written.
-
E.
scriptureTypeTranslated
Indicates that a scripture or sacred text has been translated into a particular type, version, or format.
- 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_69e2953cf6e081909b8e25a10a52dddc |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1cf9e8abc8190a3028a358265912e |
completed | April 29, 2026, 9:30 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9 p.m.