Triple
T6625732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Białystok railway station |
E149794
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Ełk |
E220533
|
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: Ełk | Statement: [Białystok railway station, connectsTo, Ełk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ełk Context triple: [Białystok railway station, connectsTo, Ełk]
-
A.
Ełk
chosen
Ełk is a town in northeastern Poland known for its lakeside setting and role as a local economic and cultural center.
-
B.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
C.
Gietrzwałd
Gietrzwałd is a village in northern Poland known as a Catholic pilgrimage site due to reported Marian apparitions in 1877.
-
D.
Mława
Mława is a town in north-central Poland known for its historical significance, including a major World War II battle, and its regional cultural and economic role.
-
E.
Rakoń
Rakoń is a mountain peak in the Western Tatras on the Polish-Slovak border, popular with hikers for its scenic ridge views.
- 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_69c687ee50048190aa151765bef16193 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af8187d881908b7a86f2cae5de23 |
completed | March 27, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e44b251481909dca5ff82e1dbf0f |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:58 p.m.