Triple
T34381836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Our Lady of Knock |
E882458
|
entity |
| Predicate | basilicaDesignationYear |
P68276
|
FINISHED |
| Object | 1979 |
—
|
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: 1979 | Statement: [Our Lady of Knock, basilicaDesignationYear, 1979]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basilicaDesignationYear Context triple: [Our Lady of Knock, basilicaDesignationYear, 1979]
-
A.
basilicaStatusGrantedYear
chosen
Indicates the year in which a church or religious building was officially granted the status of a basilica.
-
B.
basilicaDate
Indicates the date associated with a basilica, such as its construction, consecration, or official designation.
-
C.
hasBasilicaRank
Indicates that an entity holds the ecclesiastical status or designation of a basilica within a religious hierarchy.
-
D.
hasBasilicaDedication
Indicates that a basilica is formally dedicated to a particular figure, event, or concept.
-
E.
basilicaStyle
Indicates that something is designed, built, or characterized in the architectural style of a basilica.
- 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_69f349c0219881909393bbbc1edc8161 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71c35327c8190884f1bfe12bd2cd7 |
completed | May 3, 2026, 9:58 a.m. |
| PD | Predicate disambiguation | batch_69f71822d0e88190ac9731c7ae5a4def |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 1:59 a.m.