Triple
T9190460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banie Mazurskie |
E220572
|
entity |
| Predicate | hasCountySeat |
P383
|
FINISHED |
| Object | Gołdap |
E238478
|
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: Gołdap | Statement: [Banie Mazurskie, hasCountySeat, Gołdap]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gołdap Context triple: [Banie Mazurskie, hasCountySeat, Gołdap]
-
A.
Gołdap
chosen
Gołdap is a town in northeastern Poland known for its spa facilities, scenic lakes and forests, and proximity to the Russian border.
-
B.
Goleniów
Goleniów is a town in northwestern Poland that serves as a local transport hub and gateway to the nearby regional capital Szczecin.
-
C.
Grodkowo
Grodkowo is a settlement in northern Poland located within the Warmian-Masurian Voivodeship, a region known for its lakes and natural landscapes.
-
D.
Gubałówka
Gubałówka is a popular hill and tourist destination in the Polish Tatra region, known for its panoramic views of Zakopane and the surrounding mountains.
-
E.
Gietrzwałd
Gietrzwałd is a village in northern Poland known as a Catholic pilgrimage site due to reported Marian apparitions in 1877.
- 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_69ca83e6d77c81909862b7afef56b1bf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd5bf25c081909e651b67ef8ecc33 |
completed | April 1, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d121eb1c9881908aebf9e1dab72457 |
completed | April 4, 2026, 2:36 p.m. |
Created at: March 30, 2026, 7:24 p.m.