Triple
T7554023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E65 |
E178611
|
entity |
| Predicate | passesThroughCity |
P416
|
FINISHED |
| Object | Świnoujście |
E433872
|
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: Świnoujście | Statement: [E65, passesThroughCity, Świnoujście]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Świnoujście Context triple: [E65, passesThroughCity, Świnoujście]
-
A.
Świnoujście
chosen
Świnoujście is a Polish port city and seaside resort on the Baltic Sea, known for its wide beaches, spa facilities, and strategic location at the mouth of the Świna River.
-
B.
Kwidzyn
Kwidzyn is a historic town in northern Poland known for its medieval Teutonic castle complex and Gothic cathedral.
-
C.
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.
-
D.
Kościerzyna
Kościerzyna is a historic town in northern Poland known as a local cultural and economic center within the Kashubian region.
-
E.
Suwałki
Suwałki is a city in northeastern Poland known for its cold climate, proximity to the Lithuanian border, and location within the historical region of Podlasie.
- 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_69c69f2da22c8190a50942ac20af70e8 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8b990148190b26a3a262cf538b3 |
completed | March 27, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4963545f481909ecc360480b1fc37 |
completed | April 19, 2026, 8:45 a.m. |
Created at: March 27, 2026, 3:49 p.m.