Triple
T3725053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yod |
E81727
|
entity |
| Predicate | isSmallestConsonantInTorahScrolls |
P51243
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Yod, isSmallestConsonantInTorahScrolls, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSmallestConsonantInTorahScrolls Context triple: [Yod, isSmallestConsonantInTorahScrolls, true]
-
A.
subsectionOfTanakh
Indicates that one text division is a recognized subsection within the larger structure of the Tanakh.
-
B.
positionInTanakh
Indicates the relative location or ordering of a text or passage within the canonical structure of the Tanakh.
-
C.
isConsonant
Indicates that a given character or sound is a consonant rather than a vowel or other symbol.
-
D.
isNarrowestPartOf
Indicates that one entity constitutes the slimmest or most constricted section within the extent or structure of another entity.
-
E.
isConsonantLetter
Indicates that a given letter belongs to the set of consonant characters in a writing system, as opposed to vowels or other symbols.
- 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_69ad8b1b7ef081908d2d381bbf54985a |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcaf54af881908bd8d520595de061 |
completed | March 8, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69adc0452f5081909c79e114a86cce8c |
completed | March 8, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69adc226fffc81909c679b44e611fee6 |
completed | March 8, 2026, 6:38 p.m. |
Created at: March 8, 2026, 3:34 p.m.