Triple
T4892144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PKP Intercity |
E109587
|
entity |
| Predicate | servesStation |
P839
|
FINISHED |
| Object | Białogard |
E527426
|
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: Białogard | Statement: [PKP Intercity, servesStation, Białogard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Białogard Context triple: [PKP Intercity, servesStation, Białogard]
-
A.
Białogard
chosen
Białogard is a historic town in northwestern Poland, located in the West Pomeranian Voivodeship on the Parsęta River.
-
B.
Bytów
Bytów is a historic town in northern Poland known for its medieval Teutonic castle and picturesque setting within the Pomeranian region.
-
C.
Biłgoraj
Biłgoraj is a town in eastern Poland known for its traditional wooden architecture and location near the Roztocze region.
-
D.
Mrągowo
Mrągowo is a picturesque town in northeastern Poland known for its lakeside setting and popular summer cultural and music festivals.
-
E.
Augustów
Augustów is a town in northeastern Poland known for its lakes, forests, and popular water tourism, including the historic Augustów Canal.
- 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_69bd4410bbf88190aad50d2451c863d6 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e2444dc819088d5562e90d16d9b |
completed | March 20, 2026, 3:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712687f408190ac948dcc990e8e08 |
completed | March 27, 2026, 11:27 p.m. |
Created at: March 20, 2026, 1:28 p.m.