Triple
T4838995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lag BaOmer |
E108132
|
entity |
| Predicate | dayInOmerCount |
P59693
|
FINISHED |
| Object | 33 |
—
|
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: 33 | Statement: [Lag BaOmer, dayInOmerCount, 33]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dayInOmerCount Context triple: [Lag BaOmer, dayInOmerCount, 33]
-
A.
dayRelativeToEaster
Indicates the temporal offset of a given day relative to the date of Easter in a specific year (e.g., days before or after Easter Sunday).
-
B.
timeframeRelativeToRoshHashanah
Indicates the temporal relationship of an event or period in reference to Rosh Hashanah (e.g., before, during, or after the holiday).
-
C.
timeframeRelativeToPassover
Indicates the temporal relationship of an event or action to the time of Passover (e.g., before, during, or after Passover).
-
D.
dateInHebrewCalendar
Indicates that a specific date is expressed according to the Hebrew (Jewish) calendar system rather than another calendar.
-
E.
dayOfMonth
Indicates the specific calendar day number within a given month on which something occurs or is associated.
- 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_69bd43fbe444819085cb970706ef73f7 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e01872c81909607010c10538ad1 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2375a4819098e16acb982c8fab |
completed | March 20, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69bd6dfff1488190a32bbb615bfab970 |
completed | March 20, 2026, 3:55 p.m. |
Created at: March 20, 2026, 1:25 p.m.