Triple
T2113170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Counting of the Omer |
E42548
|
entity |
| Predicate | startsAfter |
P6880
|
FINISHED |
| Object | first day of Passover |
—
|
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: first day of Passover | Statement: [Counting of the Omer, startsAfter, first day of Passover]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startsAfter Context triple: [Counting of the Omer, startsAfter, first day of Passover]
-
A.
tookPlaceAfter
Indicates that one event or occurrence happened later in time than another event or occurrence.
-
B.
chronologicallyAfter
chosen
Indicates that one event or state occurs later in time than another.
-
C.
startsAt
Indicates that an event, process, or state begins at a specific time, location, or point in a sequence.
-
D.
locatedAfter
Indicates that one entity is positioned later than another along a defined sequence, order, or spatial/temporal axis.
-
E.
heldAfter
Indicates that one event or state occurs or is maintained at some point in time after another specified event or state.
- 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_69a8871040f08190aac2e2d0ab6b47ad |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbb0495d0819097dc936540743b74 |
completed | March 7, 2026, 5:43 a.m. |
| PD | Predicate disambiguation | batch_69abb7ba08948190a3c236bb53ee4257 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:43 p.m.