Triple
T13682223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yom Kippur Katan |
E328029
|
entity |
| Predicate | communityVariation |
P111143
|
FINISHED |
| Object | custom varies by community |
—
|
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: custom varies by community | Statement: [Yom Kippur Katan, communityVariation, custom varies by community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: communityVariation Context triple: [Yom Kippur Katan, communityVariation, custom varies by community]
-
A.
communityAspect
Indicates that something pertains to, reflects, or influences the communal or social dimension of a group or community.
-
B.
community
Indicates a relationship where individuals or groups are connected by shared location, interests, or identity, forming a collective social unit.
-
C.
communityUsage
Indicates how something is used, adopted, or engaged with by a particular community or group of people.
-
D.
communityType
Indicates the classification or category of community to which an entity belongs (e.g., urban, rural, online, professional).
-
E.
communityBased
Indicates that something is organized, developed, or delivered within and by a local community, emphasizing local participation, control, and context.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc66e75188190a9e82fdc5eb26513 |
completed | April 12, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69dbbe8d8d0881908d6e89954f44eed4 |
completed | April 12, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69dbc59ca1a88190a6abd3bd00554c93 |
completed | April 12, 2026, 4:17 p.m. |
Created at: April 9, 2026, 9:53 p.m.