Triple
T1856746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Methodist Church |
E41719
|
entity |
| Predicate | hasSocialStance |
P9470
|
FINISHED |
| Object | strong emphasis on social justice |
—
|
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: strong emphasis on social justice | Statement: [United Methodist Church, hasSocialStance, strong emphasis on social justice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSocialStance Context triple: [United Methodist Church, hasSocialStance, strong emphasis on social justice]
-
A.
policyStance
Indicates the position or viewpoint an entity holds regarding a specific policy or set of policies.
-
B.
hasUserAttitude
Indicates that one entity holds a particular attitude, opinion, or evaluative stance toward another entity or subject.
-
C.
editorialStance
Indicates the position, viewpoint, or bias an editor or publication adopts toward a subject, issue, or entity.
-
D.
hasSocialIdentity
Indicates that an entity possesses or is associated with a particular social identity, such as a role, group membership, or socially recognized status.
-
E.
hasViewOnSociety
chosen
Indicates that an entity holds a particular perspective, opinion, or stance regarding society or social structures.
- 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_69a8864a83848190a4ec02721306c511 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb231de14819091da3a20ed03c430 |
completed | March 7, 2026, 5:05 a.m. |
| PD | Predicate disambiguation | batch_69abafde4598819099d8229128348fd3 |
completed | March 7, 2026, 4:55 a.m. |
Created at: March 4, 2026, 7:33 p.m.