Triple
T15000626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gdynia Śródmieście SKM station |
E374076
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Rumia |
E921860
|
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: Rumia | Statement: [Gdynia Śródmieście SKM station, connectsTo, Rumia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rumia Context triple: [Gdynia Śródmieście SKM station, connectsTo, Rumia]
-
A.
Rumia
chosen
Rumia is a town in northern Poland, located near the Baltic coast and forming part of the Gdynia–Sopot–Gdańsk metropolitan area.
-
B.
Pechory
Pechory is a historic town in western Russia near the Estonian border, known for its religious significance and well-preserved medieval architecture.
-
C.
Sanok
Sanok is a historic town in southeastern Poland, known for its medieval heritage and open-air ethnographic museum showcasing the culture of the Carpathian region.
-
D.
Kovel
Kovel is a historic town in northwestern Ukraine, located in the Volyn region and known as a former important railway and trade hub.
-
E.
Slutsk
Slutsk is a historic town in central Belarus known for its role as a regional center and for its traditional Slutsk belts.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded72fec948190b1c9705538c57976 |
completed | April 15, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe969e2d888190afbb9c8fd8a707c8 |
completed | May 9, 2026, 2:06 a.m. |
Created at: April 10, 2026, 2:54 a.m.