Triple
T17318639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Our Lady of the Rule Parish Church |
E420496
|
entity |
| Predicate | isMarianShrine |
P107974
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Our Lady of the Rule Parish Church, isMarianShrine, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMarianShrine Context triple: [Our Lady of the Rule Parish Church, isMarianShrine, true]
-
A.
stateShrineOf
Indicates that one entity is officially designated as a state-recognized shrine associated with or located within another entity (typically a state or region).
-
B.
isVotiveMonumentOf
Indicates that an object is a votive monument dedicated or offered in honor of a particular entity.
-
C.
containsShrine
Indicates that one entity includes or has within its boundaries a shrine associated with it.
-
D.
hasMarianDedication
chosen
Indicates that something (typically a church, chapel, or shrine) is dedicated to or in honor of the Virgin Mary.
-
E.
recognizedAsShrineBy
Indicates that something is regarded or designated as a shrine by a particular person, group, or authority.
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4399f84a881908dd99ecd7cc02708 |
completed | April 19, 2026, 2:10 a.m. |
| PD | Predicate disambiguation | batch_69e3b01b9d1c8190a406dd941c9b11a1 |
completed | April 18, 2026, 4:23 p.m. |
Created at: April 10, 2026, 5:43 a.m.