Triple
T22805849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cananaean |
E564529
|
entity |
| Predicate | hasScripturalLanguageContext |
P149790
|
FINISHED |
| Object | Aramaic-speaking early Christian community |
—
|
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: Aramaic-speaking early Christian community | Statement: [Cananaean, hasScripturalLanguageContext, Aramaic-speaking early Christian community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScripturalLanguageContext Context triple: [Cananaean, hasScripturalLanguageContext, Aramaic-speaking early Christian community]
-
A.
scripturalLanguageContext
Indicates the linguistic or textual context in which a scriptural passage, term, or reference is expressed or interpreted.
-
B.
hasLanguageContext
Indicates that an entity is associated with or interpreted within a specific language or linguistic context.
-
C.
hasLanguageOfScripture
Indicates that an entity’s scriptural or sacred texts are written or expressed in a specified language.
-
D.
hasLanguageRegionContext
Indicates that something is associated with or situated within a specific linguistic or language-region context.
-
E.
scriptureContext
Indicates that one entity provides the textual, historical, or thematic scriptural background or setting necessary to interpret or understand another entity.
- 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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d5c193481908550993e2547515d |
completed | April 29, 2026, 3:39 a.m. |
| PD | Predicate disambiguation | batch_69eed2cb30f481909566369f515f6eff |
completed | April 27, 2026, 3:06 a.m. |
| PDg | Predicate description generation | batch_69eeeb5681f88190821129ced752f190 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:32 p.m.