Triple
T34066949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramat Beit Shemesh Gimmel |
E873651
|
entity |
| Predicate | dayOfRestPractice |
P7619
|
FINISHED |
| Object | public life largely follows Shabbat observance |
—
|
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: public life largely follows Shabbat observance | Statement: [Ramat Beit Shemesh Gimmel, dayOfRestPractice, public life largely follows Shabbat observance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dayOfRestPractice Context triple: [Ramat Beit Shemesh Gimmel, dayOfRestPractice, public life largely follows Shabbat observance]
-
A.
restDays
chosen
Indicates the number or specific days allocated for rest or non-working periods in relation to an entity or schedule.
-
B.
restOn
Indicates that one entity is physically supported by and in contact with the surface of another entity, typically in a stable, stationary position.
-
C.
dailyCycle
Indicates a recurring pattern or process that happens once every day as part of a regular cycle.
-
D.
dailyPractice
Indicates a recurring action or behavior that is performed every day as a regular practice or routine.
-
E.
nameDayPractice
Indicates the customary observance or celebration associated with a person’s name day.
- 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_69f349a4af208190afa14888f9c9fb9d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70ba50a188190b595083c3acd350a |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70ac0170c819098e3b8e41d02efef |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:52 a.m.