Triple
T640752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adar I |
E16733
|
entity |
| Predicate | occursInYearsOfCycle |
P17614
|
FINISHED |
| Object | 3rd year of 19-year 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: 3rd year of 19-year cycle | Statement: [Adar I, occursInYearsOfCycle, 3rd year of 19-year cycle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occursInYearsOfCycle Context triple: [Adar I, occursInYearsOfCycle, 3rd year of 19-year cycle]
-
A.
occursEvery
Indicates that an event or action happens repeatedly at regular, specified intervals.
-
B.
firstCycleYear
Indicates the year in which the first cycle, phase, or iteration of a recurring process begins.
-
C.
hasAverageYearLength
Indicates that one entity has a specified average duration for its year (orbital period), typically measured over time.
-
D.
hasNumberInYear
Indicates that a specific number is associated with or occurs within a given year.
-
E.
yearType
Indicates the classification or category assigned to a specific year (e.g., academic, fiscal, calendar, leap).
- 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_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. |
| PDg | Predicate description generation | batch_69a49df0de3c81909721eb391ec94031 |
completed | March 1, 2026, 8:13 p.m. |
Created at: March 1, 2026, 7:36 p.m.