Triple
T18895178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oels |
E462193
|
entity |
| Predicate | hasRailConnectionTo |
P848
|
FINISHED |
| Object | Kępno |
—
|
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: Kępno | Statement: [Oels, hasRailConnectionTo, Kępno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kępno Context triple: [Oels, hasRailConnectionTo, Kępno]
-
A.
Kępno
chosen
Kępno is a town in western Poland known as a local transport hub and administrative center in the Greater Poland region.
-
B.
Łęczna
Łęczna is a town in eastern Poland known for its location near the Lublin Coal Basin and as a local administrative and service center.
-
C.
Kowary
Kowary is a small town in southwestern Poland, located in the Lower Silesian Voivodeship near the Karkonosze Mountains, known historically for mining and tourism.
-
D.
Kęty
Kęty is a historic town in southern Poland, located in the Lesser Poland region and known for its traditional industry and proximity to the Beskid Mountains.
-
E.
Koprzywnica
Koprzywnica is a small town in southeastern Poland known for its historic Cistercian monastery and location within the Świętokrzyskie Voivodeship.
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c47eb0688190882c68d0d6fa9348 |
completed | April 20, 2026, 6:15 a.m. |
Created at: April 10, 2026, 11:58 a.m.