Triple
T640751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adar I |
E16733
|
entity |
| Predicate | occursFrequency |
P85
|
FINISHED |
| Object | 7 times in every 19-year Metonic cycle |
—
|
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: 7 times in every 19-year Metonic cycle | Statement: [Adar I, occursFrequency, 7 times in every 19-year Metonic cycle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occursFrequency Context triple: [Adar I, occursFrequency, 7 times in every 19-year Metonic cycle]
-
A.
occursEvery
Indicates that an event or action happens repeatedly at regular, specified intervals.
-
B.
frequencyComparedTo
Indicates how often one event or action occurs relative to another, expressing a comparison of their frequencies.
-
C.
frequencyDependsOn
Indicates that the frequency of one event, action, or state is determined or influenced by another factor or condition.
-
D.
frequency
chosen
Indicates how often an event, action, or relationship occurs within a given period or context.
-
E.
selectionRankingFrequency
Indicates how often an entity is chosen or ranked in a particular position within a selection or ordering process.
- 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_69a4936be1c88190af56540324b57da7 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49f0189b08190a584b744f36fa761 |
completed | March 1, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69a49d0830008190a26ee158ed4dd1fe |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.