Triple
T2363331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greenleaf |
E47323
|
entity |
| Predicate | nameBearerReligiousAffiliation |
P13363
|
FINISHED |
| Object | Quaker |
—
|
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: Quaker | Statement: [Greenleaf, nameBearerReligiousAffiliation, Quaker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameBearerReligiousAffiliation Context triple: [Greenleaf, nameBearerReligiousAffiliation, Quaker]
-
A.
religiousNamesake
Indicates that one entity serves as the religiously significant figure, concept, or object after which the other entity is named.
-
B.
religiousName
chosen
Indicates that an entity has or is known by a name specifically associated with a religious role, identity, or context.
-
C.
titleHolderReligion
Indicates the religious affiliation associated with the holder of a particular title.
-
D.
declaredReligion
Indicates that an entity has formally stated or reported a particular religious affiliation.
-
E.
hasAssociatedReligion
Indicates that an entity is connected with or linked to a particular religion.
- 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_69a88a1a4a6081908645b0f2914521ab |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc746e7048190a09a38401b367628 |
completed | March 7, 2026, 6:35 a.m. |
| PD | Predicate disambiguation | batch_69abc599b92c819093d9e15d4437705d |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:55 p.m.