Triple
T17452705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koleje Dolnośląskie |
E424951
|
entity |
| Predicate | hasRouteThrough |
P4374
|
FINISHED |
| Object | Zgorzelec |
—
|
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: Zgorzelec | Statement: [Koleje Dolnośląskie, hasRouteThrough, Zgorzelec]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zgorzelec Context triple: [Koleje Dolnośląskie, hasRouteThrough, 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.
Samborzec
Samborzec is a village and the seat of a rural administrative district in southeastern Poland’s Sandomierz County.
-
C.
Ozerne
Ozerne is a settlement located on the shores of Lake Yalpuh in southwestern Ukraine.
-
D.
Chełmek
Chełmek is a small town in southern Poland known historically for its shoe industry and its location near Oświęcim (Auschwitz).
-
E.
Zbrzyca
Zbrzyca is a river in northern Poland that flows through the Pomeranian region before joining the Brda River.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4513faa0c8190961cf504c459bf34 |
completed | April 19, 2026, 3:51 a.m. |
Created at: April 10, 2026, 5:47 a.m.