Triple
T25054890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carmelite Order |
E627489
|
entity |
| Predicate | hasPatronTitleOfMary |
P5311
|
FINISHED |
| Object | Our Lady of Mount Carmel |
—
|
NE NERFINISHED |
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: Our Lady of Mount Carmel | Statement: [Carmelite Order, hasPatronTitleOfMary, Our Lady of Mount Carmel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPatronTitleOfMary Context triple: [Carmelite Order, hasPatronTitleOfMary, Our Lady of Mount Carmel]
-
A.
hasPatronalTitle
chosen
Indicates that an entity holds or is associated with a specific patronal or honorific title, typically reflecting patronage, protection, or dedication.
-
B.
reportedTitleOfMary
Indicates that the specified title is one that has been reported or recorded as belonging to Mary.
-
C.
laterTitleOfPatron
Indicates that one title held by a patron chronologically succeeds another title previously held by the same patron.
-
D.
hasMarianDedication
Indicates that something (typically a church, chapel, or shrine) is dedicated to or in honor of the Virgin Mary.
-
E.
motherTitle
Indicates the formal title or honorific associated with a person's mother.
- 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_69e2ff2c45f48190afa28369f1df6786 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f61f12b0f08190bc4a16907941864c |
completed | May 2, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69f61b37a5648190b10d33ae205ccfee |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 18, 2026, 6:09 a.m.