Triple
T21649154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ליל הסדר |
E534290
|
entity |
| Predicate | מתקיים ב |
P57262
|
FINISHED |
| Object | בית יהודי |
—
|
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: בית יהודי | Statement: [ליל הסדר, מתקיים ב, בית יהודי]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: מתקיים ב Context triple: [ליל הסדר, מתקיים ב, בית יהודי]
-
A.
existsWithin
chosen
Indicates that one entity is located inside the spatial, temporal, or conceptual boundaries of another entity.
-
B.
meetsInPresenceOf
Indicates that two or more entities meet or interact while another specified entity is present as a witness, chaperone, or contextual participant.
-
C.
holdsIn
Indicates that a relationship, condition, or event is valid or occurs within a specified time interval or temporal context.
-
D.
existsBelow
Indicates that at least one instance of an entity is located or occurs at a lower level or position relative to another entity.
-
E.
holdsAt
Indicates that a particular condition or fluent is true and persists at a specified point in time.
- 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_69e0c466aec88190ba39c7543dbc8ba2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef59131c88819082df8e5b87f5954b |
completed | April 27, 2026, 12:39 p.m. |
| PD | Predicate disambiguation | batch_69e696826c3c81909270791e79760937 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:35 p.m.