Triple
T31420404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grabeskirche |
E801514
|
entity |
| Predicate | wirdVerehrtAls |
P137926
|
FINISHED |
| Object | Ort der Kreuzigung Jesu Christi |
—
|
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: Ort der Kreuzigung Jesu Christi | Statement: [Grabeskirche, wirdVerehrtAls, Ort der Kreuzigung Jesu Christi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wirdVerehrtAls Context triple: [Grabeskirche, wirdVerehrtAls, Ort der Kreuzigung Jesu Christi]
-
A.
isVeneratedAs
chosen
Indicates that one entity is regarded and honored by others as sacred, holy, or worthy of deep reverence.
-
B.
worshippedAs
Indicates that one entity is regarded and treated with religious reverence or devotion by another entity.
-
C.
worshipedAs
Indicates that one entity regards and treats another as a deity or sacred figure, offering reverence, devotion, or religious honor.
-
D.
veneratedBy
Indicates that one entity is regarded with deep respect, reverence, or worship by another entity.
-
E.
veneratedFor
Indicates that one entity is highly respected, honored, or revered because of a particular quality, achievement, or characteristic of another entity.
- 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_69f348c26f048190b4adadd71b4596c5 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a5f71b2c8190aade8a83f465be0c |
completed | May 3, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69f69fe66df08190958558d63ee623d9 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 30, 2026, 8:47 p.m.