Triple
T153262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Society of Jesus |
E3476
|
entity |
| Predicate | primaryCharism |
P662
|
FINISHED |
| Object | education |
—
|
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: education | Statement: [Society of Jesus, primaryCharism, education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryCharism Context triple: [Society of Jesus, primaryCharism, education]
-
A.
primaryMotif
Indicates that one entity serves as the main recurring theme or dominant motif associated with another entity.
-
B.
principalSacrament
Indicates that one sacrament holds primary or highest importance in relation to another or within a given religious or ritual context.
-
C.
characterizedBy
chosen
Indicates that one entity possesses a defining quality, feature, or attribute expressed by another entity.
-
D.
primaryEffect
Indicates the main direct outcome or consequence that results from a given cause, action, or condition.
-
E.
primaryAlignment
Indicates the main or most significant way in which one entity is aligned, associated, or in agreement with another entity, standard, or category.
- 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_69a252868de4819080e21c9938bfe8b6 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a258e0b11c8190b7b5cf3c354c47ce |
completed | Feb. 28, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69a2565c727c8190bca9ba6ca52f216a |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.