Triple
T3252072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | תמוז |
E68204
|
entity |
| Predicate | מאורע דתי |
P31000
|
FINISHED |
| Object | תענית ציבור בי״ז בתמוז |
—
|
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: תענית ציבור בי״ז בתמוז | Statement: [תמוז, מאורע דתי, תענית ציבור בי״ז בתמוז]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: מאורע דתי Context triple: [תמוז, מאורע דתי, תענית ציבור בי״ז בתמוז]
-
A.
religiousEvent
chosen
Indicates that an event is related to religious practices, observances, or ceremonies.
-
B.
religiousFunction
Indicates that one entity serves a religious role, purpose, or function in relation to another entity.
-
C.
religiousMood
Indicates a prevailing emotional or spiritual atmosphere associated with religious experience, practice, or devotion between entities.
-
D.
religiousElement
Indicates that something is a component, aspect, or feature associated with a religion or religious practice.
-
E.
ethnicReligion
Indicates that a religion is closely associated with a particular ethnic group, often tied to that group’s culture, ancestry, or identity.
- 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_69ad858f74408190bcbd07f967cd7bd0 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf440bb88190a2450405afae7f1f |
completed | March 8, 2026, 5:17 p.m. |
| PD | Predicate disambiguation | batch_69ada41ae74081909a0d1d696be8e35e |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:09 p.m.