Triple
T27997323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metlika |
E707047
|
entity |
| Predicate | hasParishChurchDedicatedTo |
P38130
|
FINISHED |
| Object | Saint Nicholas |
—
|
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: Saint Nicholas | Statement: [Metlika, hasParishChurchDedicatedTo, Saint Nicholas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParishChurchDedicatedTo Context triple: [Metlika, hasParishChurchDedicatedTo, Saint Nicholas]
-
A.
hasParishChurchDedication
chosen
Indicates that a parish church is dedicated to, or placed under the patronage of, a particular figure, saint, or sacred concept.
-
B.
hasCathedralDedicatedTo
Indicates that one entity possesses or contains a cathedral whose dedication (to a saint, figure, or concept) is specifically associated with another entity.
-
C.
hasParishChurchesIn
Indicates that an entity possesses or is associated with one or more parish churches located within a specified area or jurisdiction.
-
D.
parishChurchDenomination
Indicates the religious denomination with which a parish church is formally affiliated.
-
E.
parishChurchName
Indicates the name of the parish church associated with a given 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_69ef96b980d88190a753b2f9a978595a |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
Created at: April 27, 2026, 7:54 p.m.