Triple
T38486856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West End community mosque in Atlanta |
E917941
|
entity |
| Predicate | congregationEthnicComposition |
P179349
|
FINISHED |
| Object | majority African American |
—
|
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: majority African American | Statement: [West End community mosque in Atlanta, congregationEthnicComposition, majority African American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: congregationEthnicComposition Context triple: [West End community mosque in Atlanta, congregationEthnicComposition, majority African American]
-
A.
congregationEthnicity
chosen
Indicates the ethnic composition or predominant ethnicity associated with a particular congregation.
-
B.
hasEthnicOrNationalComposition
Indicates that an entity is characterized by a particular ethnic or national group composition.
-
C.
populationEthnicGroup
Indicates that a specified ethnic group constitutes part or all of the population of a given place or community.
-
D.
numberOfEthnicGroupsRepresented
Indicates the count of distinct ethnic groups that are present or represented in a given context or entity.
-
E.
ethnicOrReligiousGroup
Indicates that one entity is an ethnic or religious group to which the other entity belongs or with which it is associated.
- 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_69f76e9894208190a129a553a60ca58c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcd313e61c8190b174b331365b803f |
completed | May 7, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f6b2e08190bf0300ae7c9ae67a |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:31 p.m.