Triple
T12854562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Łužica |
E307414
|
entity |
| Predicate | hasSubregion |
P285
|
FINISHED |
| Object | Delnja Łužica |
E307414
|
NE 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: Delnja Łužica | Statement: [Łužica, hasSubregion, Delnja Łužica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Delnja Łužica Context triple: [Łužica, hasSubregion, Delnja Łužica]
-
A.
Łužica
chosen
Łužica is the Upper Sorbian name for Lusatia, a historical region in Central Europe traditionally inhabited by the West Slavic Sorbian people.
-
B.
Noteć Dolna
Noteć Dolna is the lower course and surrounding valley region of the Noteć River in north-central Poland, known for its wetlands and agricultural landscapes.
-
C.
Supraśl
Supraśl is a small historic spa town in northeastern Poland, known for its Orthodox monastery complex and picturesque setting along the Supraśl River.
-
D.
Skawina
Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
-
E.
Lučina
Lučina is a river in the Moravian-Silesian Region of the Czech Republic that flows through the city of Ostrava.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97021df7481909cd42a0f72040aa5 |
completed | April 10, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a54ce34c819080ef09ec040a4dbb |
completed | May 3, 2026, 1:30 a.m. |
Created at: April 9, 2026, 5:37 p.m.