Triple
T2894914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lusatia |
E63913
|
entity |
| Predicate | largestCities |
P11146
|
FINISHED |
| Object | Zgorzelec |
E222843
|
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: Zgorzelec | Statement: [Lusatia, largestCities, Zgorzelec]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zgorzelec Context triple: [Lusatia, largestCities, Zgorzelec]
-
A.
Zgorzelec
chosen
Zgorzelec is a town in southwestern Poland on the Lusatian Neisse River, forming a twin city with Görlitz in Germany and serving as an important local cultural and transport hub.
-
B.
Włoszczowa
Włoszczowa is a town in south-central Poland known as the seat of Włoszczowa County and a local administrative and service center.
-
C.
Chojnice
Chojnice is a historic town in northern Poland known for its medieval architecture and role as a local cultural and economic center.
-
D.
Kłodzko
Kłodzko is a historic town in southwestern Poland known for its well-preserved medieval architecture and prominent hilltop fortress.
-
E.
Kožlany
Kožlany is a small town in the Czech Republic best known as the birthplace of former Czechoslovak president Edvard Beneš.
- 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_69ab4c45822c8190830c5f2bb97bcfd0 |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe08c85c48190bd8c0f6680fca0c8 |
completed | March 7, 2026, 8:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1eed55b6481909e9338314a94b5d0 |
completed | March 11, 2026, 10:38 p.m. |
Created at: March 6, 2026, 10:07 p.m.