Triple
T22480727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rowno |
E555755
|
entity |
| Predicate | hasReligiousCommunityHistorically |
P91263
|
FINISHED |
| Object | Jewish |
—
|
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: Jewish | Statement: [Rowno, hasReligiousCommunityHistorically, Jewish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReligiousCommunityHistorically Context triple: [Rowno, hasReligiousCommunityHistorically, Jewish]
-
A.
hasJewishCommunityHistory
chosen
Indicates that there is a documented history of a Jewish community being present, active, or influential in relation to the subject.
-
B.
religiousBackgroundOfCommunity
Indicates the religious tradition, affiliation, or belief system that characterizes or predominates within a particular community.
-
C.
hasChristianCommunity
Indicates that a place or entity possesses or hosts an established Christian community.
-
D.
religionHistoricallyAssociated
Indicates a historical association between an entity and a particular religion, based on past practice, tradition, or cultural linkage rather than current or official status.
-
E.
hasReligiousMovement
Indicates that an entity is associated with, follows, or is characterized by a particular religious movement.
- 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_69e11e53897c819088863779f8c50bb0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15c3836a08190b6f0d88b94cb80a3 |
completed | April 29, 2026, 1:17 a.m. |
| PD | Predicate disambiguation | batch_69e898b6eee08190ba673a0ee329e671 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:49 p.m.