Triple
T9190855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masurian Lake District |
E220584
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object | Ełk |
E220533
|
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: Ełk | Statement: [Masurian Lake District, hasMajorTown, Ełk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ełk Context triple: [Masurian Lake District, hasMajorTown, Ełk]
-
A.
Ełk
chosen
Ełk is a town in northeastern Poland known for its lakeside setting and role as a local economic and cultural center.
-
B.
Tuchola
Tuchola is a town in northern Poland that lends its name to the surrounding Tuchola Forest, one of the largest forest complexes in the country.
-
C.
Bukowiec
Bukowiec is a village in southwestern Poland known for its scenic location in the Karkonosze foothills and historic park-and-palace complex.
-
D.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
E.
Wiślica
Wiślica is a historic town in south-central Poland, known for its medieval architecture and archaeological significance as one of the country’s oldest settlements.
- 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_69d065d5e81c8190b6687999a87fd559 |
completed | April 4, 2026, 1:13 a.m. |
Created at: March 30, 2026, 7:24 p.m.