Triple
T9129020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NRSVue Pew Bible editions |
E219035
|
entity |
| Predicate | targetProperty |
P87261
|
FINISHED |
| Object | affordability for bulk purchase |
—
|
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: affordability for bulk purchase | Statement: [NRSVue Pew Bible editions, targetProperty, affordability for bulk purchase]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetProperty Context triple: [NRSVue Pew Bible editions, targetProperty, affordability for bulk purchase]
-
A.
transformationProperty
Indicates that one entity has a specific behavior, constraint, or characteristic related to how it changes, converts, or is transformed into another form or state.
-
B.
changesProperty
Indicates that one entity causes a change in a specific property or attribute of another entity.
-
C.
metaProperty
Indicates that one property functions as a higher-level descriptor or attribute about another property, rather than about an entity directly.
-
D.
outputProperty
Indicates that a property or attribute is produced, exposed, or yielded as the output of a process, function, or system.
-
E.
targetOwner
Indicates that one entity is the owner or primary possessor of a specified target entity.
- 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_69ca83debfc0819095800583e97ab10f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8cc85b081908ee80db0e3b7df15 |
completed | April 1, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69cc6601d77881908299d58db6e64937 |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc6a3c78388190a7436acc0e44ff55 |
completed | April 1, 2026, 12:43 a.m. |
Created at: March 30, 2026, 7:18 p.m.