Triple
T32045183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beachwood |
E818325
|
entity |
| Predicate | hasJewishCommunityPresence |
P126115
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Beachwood, hasJewishCommunityPresence, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasJewishCommunityPresence Context triple: [Beachwood, hasJewishCommunityPresence, true]
-
A.
hasSignificantJewishCommunity
chosen
Indicates that a place or entity possesses a notably large, influential, or historically important Jewish community.
-
B.
hasJewishCommunityHistory
Indicates that there is a documented history of a Jewish community being present, active, or influential in relation to the subject.
-
C.
hasJewishCommunityUntil
Indicates that a place had an established Jewish community that existed there up to a certain end date or period.
-
D.
hasJewishInstitution
Indicates that a place, organization, or entity possesses, hosts, or is associated with a Jewish religious, cultural, or educational institution.
-
E.
hasSynagogueHistory
Indicates that there exists a historical relationship or record connecting an entity to a synagogue, such as past ownership, use, events, or significance.
- 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_69f348fcfb648190859f6be5e04b7cfe |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b4c1328081909758375193b2ccf7 |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b154b3dc819087115f5f63f7b00f |
completed | May 3, 2026, 2:22 a.m. |
Created at: May 1, 2026, 12:20 a.m.