Triple
T23319938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ivana |
E591122
|
entity |
| Predicate | hasReligiousBuilding |
P1191
|
FINISHED |
| Object | Ivana Church |
—
|
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: Ivana Church | Statement: [Ivana, hasReligiousBuilding, Ivana Church]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ivana Church Context triple: [Ivana, hasReligiousBuilding, Ivana Church]
-
A.
Ivana Vrdoljak
Ivana Vrdoljak is a Croatian sculptor and artist best known as the wife of actor Goran Višnjić.
-
B.
Ivana Omazic
Ivana Omazic is a Croatian fashion designer best known for her tenure as creative director at the French luxury brand Céline in the mid-2000s.
-
C.
Anne Pivcevic
Anne Pivcevic is a British television producer known for her work on high-profile drama adaptations, including the 2008 TV series "Sense and Sensibility."
-
D.
Ivana
chosen
Ivana is a small coastal municipality in the province of Batanes in the northern Philippines, known for its traditional stone houses and scenic seascapes.
-
E.
Ivana
Ivana is a feminine given name, common in Slavic countries, that is a variant of the name Joanna/John.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d1effe4819096907f95f610dbff |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1978440888190b316664812105d60 |
completed | April 29, 2026, 5:30 a.m. |
Created at: April 17, 2026, 5:07 p.m.