Triple
T14729010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pekin, New York, United States |
E346020
|
entity |
| Predicate | hasReligiousMovementTypeFoundedThere |
P115545
|
FINISHED |
| Object | evangelical Protestant denomination |
—
|
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: evangelical Protestant denomination | Statement: [Pekin, New York, United States, hasReligiousMovementTypeFoundedThere, evangelical Protestant denomination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReligiousMovementTypeFoundedThere Context triple: [Pekin, New York, United States, hasReligiousMovementTypeFoundedThere, evangelical Protestant denomination]
-
A.
hasReligiousMovement
Indicates that an entity is associated with, follows, or is characterized by a particular religious movement.
-
B.
foundedReligion
Indicates that an entity established or originated a particular religion.
-
C.
religionAtOrigin
Indicates that an entity had a particular religion or religious affiliation at the time or place of its origin.
-
D.
hasReligiousOrganization
Indicates that an entity is associated with, governed by, or belongs to a specific religious organization.
-
E.
founderOfReligionBornHere
Indicates that the birthplace of a religion’s founder is located at the referenced place.
- F. None of above. chosen
Provenance (4 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec26179688190ba9f3cd045da0e2a |
completed | April 14, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69de657e174481909da0437556334a04 |
completed | April 14, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69de716d3aac8190aaa6dc1f099b86e8 |
completed | April 14, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:29 a.m.