Triple
T6422454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torah reading |
E127975
|
entity |
| Predicate | alternativeCycleDuration |
P50227
|
FINISHED |
| Object | three years in some communities |
—
|
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: three years in some communities | Statement: [Torah reading, alternativeCycleDuration, three years in some communities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alternativeCycleDuration Context triple: [Torah reading, alternativeCycleDuration, three years in some communities]
-
A.
alternativeDuration
chosen
Indicates that there is an additional or substitute time span associated with an event or activity, differing from its primary or standard duration.
-
B.
evaluationCycle
Indicates the recurring period or sequence in which evaluations or assessments are conducted and reviewed.
-
C.
cycleType
Indicates the specific kind or category of cycle involved in a repeated or cyclical process or relationship.
-
D.
transmissionCycle
Indicates the sequence or pattern by which something (such as information, energy, or disease) is passed from one entity or stage to another over time.
-
E.
operatingCycle
Indicates the duration or process through which an entity completes a full sequence of its operations from start to finish.
- 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_69c0083815208190a9b299b8e0640218 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0690576c48190b5db5464eacc9de3 |
completed | March 22, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69c060f780b08190aa650b4d1fc51f21 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:43 p.m.