Triple
T13927295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Our Lady of Mount Carmel |
E334893
|
entity |
| Predicate | promisesAttributed |
P112319
|
FINISHED |
| Object | special protection to scapular wearers |
—
|
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: special protection to scapular wearers | Statement: [Our Lady of Mount Carmel, promisesAttributed, special protection to scapular wearers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: promisesAttributed Context triple: [Our Lady of Mount Carmel, promisesAttributed, special protection to scapular wearers]
-
A.
promises
Indicates that one entity commits to performing, providing, or ensuring something for another entity in the future.
-
B.
corePromise
Indicates the primary commitment or central obligation that one party is bound to fulfill within an agreement or relationship.
-
C.
promisesMarriage
Indicates that one entity has made a commitment or vow to marry another entity.
-
D.
promiseProperty
Indicates that one entity has made a commitment or assurance to another regarding a specific property or attribute.
-
E.
receivedPromiseAbout
Indicates that one entity has been given an assurance or commitment concerning another entity or event by some source.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2aa7e9248190b0523415b9224e2f |
completed | April 14, 2026, 11:53 a.m. |
| PD | Predicate disambiguation | batch_69de059e4ba881908554f72e889719fa |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239524688190a0f2408c239cfcaa |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:16 p.m.