Triple
T20953242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skałka, Church of St. Michael the Archangel and St. Stanislaus |
E516032
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Skałka |
—
|
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: Skałka | Statement: [Skałka, Church of St. Michael the Archangel and St. Stanislaus, alsoKnownAs, Skałka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skałka Context triple: [Skałka, Church of St. Michael the Archangel and St. Stanislaus, alsoKnownAs, Skałka]
-
A.
Skałka
chosen
Skałka is a dramatic work by Polish playwright and artist Stanisław Wyspiański, inspired by the historic Skałka church in Kraków and its national-symbolic significance.
-
B.
Skalka
Skalka is a Prague Metro station on Line A serving the eastern part of the city.
-
C.
Błędne Skały
Błędne Skały is a labyrinth of unusual sandstone rock formations and narrow passages in Poland’s Table Mountains, popular for hiking and sightseeing.
-
D.
Skałat
Skałat is a small historic town in western Ukraine, known for its castle ruins and multicultural heritage.
-
E.
Kamień
Kamień is a historic town that once served as the capital of the Pomeranian Piasts dynasty in medieval Poland.
- 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_69e0b4fcd678819087a304291f14330a |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fadf85f88190924d3919b9e665e4 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 1:27 p.m.