Triple
T33439605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanctuary of Our Lady of Gietrzwałd |
E856323
|
entity |
| Predicate | apparitionsLanguageOfMessages |
P92981
|
FINISHED |
| Object | Polish |
—
|
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: Polish | Statement: [Sanctuary of Our Lady of Gietrzwałd, apparitionsLanguageOfMessages, Polish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: apparitionsLanguageOfMessages Context triple: [Sanctuary of Our Lady of Gietrzwałd, apparitionsLanguageOfMessages, Polish]
-
A.
languageOfApparitions
chosen
Indicates the language in which apparitions, visions, or supernatural manifestations are expressed or communicated.
-
B.
languageOfLetters
Indicates that one entity is the language in which the other entity’s letters or written correspondence are composed.
-
C.
languagesSpoken
Indicates that an entity is able to communicate using one or more specified languages.
-
D.
languageOfTransmission
Indicates the language used to convey or transmit the content or information in a given communication or resource.
-
E.
revelationLanguage
Indicates that a revelation, message, or disclosure is expressed or communicated in a particular language.
- 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_69f34971b75881908be360bb041f003c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f96badb08190994442c2aba840b1 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:37 a.m.