Triple
T16117061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National road 6 (Poland) |
E391029
|
entity |
| Predicate | connectsCity |
P4245
|
FINISHED |
| Object | Lębork |
—
|
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: Lębork | Statement: [National road 6 (Poland), connectsCity, Lębork]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lębork Context triple: [National road 6 (Poland), connectsCity, Lębork]
-
A.
Lębork
chosen
Lębork is a historic town in northern Poland known for its medieval architecture and location near the Baltic coast.
-
B.
Więcbork
Więcbork is a small historic town in north-central Poland, situated in the ethnocultural region of Krajna and known for its lakeside setting and traditional architecture.
-
C.
Grajewo
Grajewo is a town in northeastern Poland known as a local administrative and industrial center near the border with the Warmian-Masurian region.
-
D.
Olsztynek
Olsztynek is a small historic town in northern Poland known for its open-air ethnographic museum and location within the picturesque Warmian-Masurian lake district.
-
E.
Łeba
Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2016b5c948190b0f1eccb97ee85cc |
completed | April 17, 2026, 9:46 a.m. |
Created at: April 10, 2026, 5 a.m.