Triple
T23575414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marianist |
E580240
|
entity |
| Predicate | emphasizesVows |
P9696
|
FINISHED |
| Object | poverty |
—
|
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: poverty | Statement: [Marianist, emphasizesVows, poverty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emphasizesVows Context triple: [Marianist, emphasizesVows, poverty]
-
A.
vowsTo
Indicates a commitment or solemn promise made by one entity to another to perform, uphold, or refrain from specific actions.
-
B.
primaryVows
chosen
Indicates that an entity has made or is bound by its main or foundational vows, promises, or commitments in a given context.
-
C.
emphasizesConsonanceOf
Indicates that one entity highlights, stresses, or draws attention to the harmony, agreement, or consonant relationship between itself and another entity.
-
D.
observesVows
Indicates that an entity faithfully keeps, honors, or adheres to vows or solemn promises made.
-
E.
associatedVow
Indicates a relationship where a vow is linked or connected to a particular entity or event.
- 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_69e24601a9108190bc31e83833c980e4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1afd5a7e88190ba348d58e552bd3c |
completed | April 29, 2026, 7:14 a.m. |
| PD | Predicate disambiguation | batch_69f118bcc0b08190b25a8dddfd461a0e |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:38 p.m.