Triple
T12309004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beachy Amish Mennonite churches |
E293426
|
entity |
| Predicate | differenceFromOldOrderAmish |
P61682
|
FINISHED |
| Object | allow ownership and driving of automobiles |
—
|
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: allow ownership and driving of automobiles | Statement: [Beachy Amish Mennonite churches, differenceFromOldOrderAmish, allow ownership and driving of automobiles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: differenceFromOldOrderAmish Context triple: [Beachy Amish Mennonite churches, differenceFromOldOrderAmish, allow ownership and driving of automobiles]
-
A.
differenceFromStates
Indicates that one state or condition is distinct from, or deviates in some way from, another state or condition.
-
B.
differIn
chosen
Indicates that two entities are not the same in at least one specified aspect, attribute, or value.
-
C.
orderOf
Indicates that one entity is arranged, ranked, or sequenced before or after another according to a specified ordering criterion.
-
D.
traditionalOrder
Indicates that entities are arranged or occur according to a customary, historically established sequence or hierarchy.
-
E.
distributionOrder
Indicates the sequence or arrangement in which items or resources are distributed among recipients or locations.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec02c008190a56aae60a3d9eff6 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:53 p.m.