Triple
T27563526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basilica of Our Lady of Health |
E695835
|
entity |
| Predicate | isMarianDevotionSiteFor |
P107974
|
FINISHED |
| Object | Virgin Mary |
—
|
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: Virgin Mary | Statement: [Basilica of Our Lady of Health, isMarianDevotionSiteFor, Virgin Mary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMarianDevotionSiteFor Context triple: [Basilica of Our Lady of Health, isMarianDevotionSiteFor, Virgin Mary]
-
A.
isDevotedTo
Indicates a strong, enduring commitment or dedication that one entity directs toward another.
-
B.
hasMarianDedication
chosen
Indicates that something (typically a church, chapel, or shrine) is dedicated to or in honor of the Virgin Mary.
-
C.
ministrySiteOf
Indicates that a particular site or location serves as the official premises or base of operations for a specified ministry.
-
D.
devotionPracticedBy
Indicates that a particular form of devotion, worship, or religious practice is performed or carried out by a specified agent or practitioner.
-
E.
veneratedAt
Indicates that an entity is honored, revered, or worshipped at a particular place or institution.
- 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_69ef53891af88190a193c5e2a1dac9b1 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f6359e3d3c81909814e2f0a7fb0ea9 |
completed | May 2, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f631871c888190bf29466fe4254e51 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 1:40 p.m.