Triple
T38222038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | גָּלְיָת |
E1012035
|
entity |
| Predicate | דת בה מופיע |
P122117
|
FINISHED |
| Object | יהדות |
—
|
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: יהדות | Statement: [גָּלְיָת, דת בה מופיע, יהדות]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: דת בה מופיע Context triple: [גָּלְיָת, דת בה מופיע, יהדות]
-
A.
הייתה בה
Indicates that something existed, was present, or was contained within something (typically a place, object, or situation).
-
B.
appearsInTractate
chosen
Indicates that one entity (such as a topic, law, or passage) is contained within or discussed in a particular tractate.
-
C.
appearsInTetragrammaton
Indicates that the entity occurs as one of the letters or components within the Tetragrammaton (the four-letter divine name).
-
D.
הועבר בה
Indicates that something or someone was transferred, moved, or conveyed within or by means of the referenced entity.
-
E.
hasBimah
Indicates that a place or structure contains or is equipped with a bimah, a raised platform used for religious readings or rituals.
- 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_69f76dd25e0c81909f2abd0803e5e3ee |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:30 p.m.