Triple
T9190850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masurian Lake District |
E220584
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object | Mikołajki |
E220542
|
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: Mikołajki | Statement: [Masurian Lake District, hasMajorTown, Mikołajki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mikołajki Context triple: [Masurian Lake District, hasMajorTown, Mikołajki]
-
A.
Mikołajki
chosen
Mikołajki is a popular resort town in northeastern Poland, known for its picturesque lakes and status as a major sailing and tourist center in the Masurian Lake District.
-
B.
Mikuláš
Mikuláš is the Czech name for Saint Nicholas, a traditional Christian figure associated with gift-giving and the inspiration for modern Santa Claus customs in Central Europe.
-
C.
Święciany
Święciany is a historic town in present-day Lithuania that was one of the principal urban centers of the former Wilno Voivodeship.
-
D.
Liszki
Liszki is a village in southern Poland that serves as the seat of the rural administrative district (gmina) of Liszki near the city of Kraków.
-
E.
Krupówki
Krupówki is the bustling main pedestrian street and commercial heart of Zakopane, Poland, known for its shops, restaurants, and traditional highland atmosphere.
- 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_69ca83e7ba70819088b74866d9da2c30 |
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_69d077797be081908300a5baa0041ce5 |
completed | April 4, 2026, 2:29 a.m. |
Created at: March 30, 2026, 7:24 p.m.